CN114860359A - Image processing method, system and storage medium - Google Patents

Abstract

The invention discloses an image processing method, an image processing system and a storage medium. The method comprises the following steps: displaying current area information and target area information which are related to a first object on an interactive interface, wherein the current area information is used for representing the area information of a current area where the first object is located, and the target area information is used for representing the area information of a target area where the first object needs to be docked; acquiring the matching degree displayed on the interactive interface based on the current region information and the target region information, wherein the matching degree is used for expressing the matching degree between the current region and the target region; and displaying first prompt information on the interactive interface in response to the matching degree being greater than the target threshold, wherein the first prompt information is used for prompting that when the first object stops in the current area, the detection device is allowed to detect a second object carried by the first object, and the detection device is deployed at a position associated with the target area. The invention solves the technical problem of low efficiency of detecting the object.

Description

Image processing method, system and storage medium

technical field

The present invention relates to the field of computers, and in particular, to an image processing method, system and storage medium.

Background technique

At present, in the process of classifying objects, a certain number of image acquisition devices are usually arranged in the system, and the image acquisition devices perform tomography on the carrying objects of the movable objects. The object is classified, but when the image acquisition device is partially blocked, the classification result will be inaccurate. Therefore, the above method still has the technical problem of low object detection efficiency.

For the above problems, no effective solution has been proposed yet.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide an image processing method, system, and storage medium, so as to at least solve the technical problem of low object detection efficiency.

According to an aspect of the embodiments of the present invention, an image processing method is provided. The method may include: displaying current area information and target area information associated with the first object on the interactive interface, wherein the current area information is used to represent the area information of the current area where the first object is located, and the target area information is used to represent the area information of the current area where the first object is located. The area information of the target area to which the first object needs to be docked; based on the current area information and the target area information, obtain the matching degree displayed on the interactive interface, wherein the matching degree is used to indicate the matching degree between the current area and the target area; In response to the matching degree being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object. The object is detected, and the detection device is deployed at the position associated with the target area.

According to another aspect of the embodiments of the present invention, another image processing method is also provided. The method may include: acquiring current area information and target area information associated with the first object, wherein the current area information is used to indicate area information of the current area where the first object is located, and the target area information is used to indicate that the first object needs The area information of the target area to which it is docked; the matching degree is determined based on the current area information and the target area information, wherein the matching degree is used to indicate the matching degree between the current area and the target area; in response to the matching degree being greater than the target threshold, the client Send first prompt information, where the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed in the target area associated with position.

According to another aspect of the embodiments of the present invention, another vehicle image detection method is also provided. The method may include: displaying current area information and target area information associated with the vehicle on the interactive interface, wherein the current area information is used to indicate the area information of the current area where the vehicle is located, and the target area information is used to indicate that the vehicle needs to park to The area information of the target area of the Threshold, the first prompt information is displayed on the interactive interface, where the first prompt information is used to prompt that when the vehicle is parked in the current area, the detection device is allowed to detect the industrial object carried by the vehicle, and the detection device is deployed in the target area. at the associated location.

According to another aspect of the embodiments of the present invention, an image processing apparatus is also provided. The apparatus may include: a first display unit configured to display current area information and target area information associated with the first object on the interactive interface, wherein the current area information is used to represent area information of the current area where the first object is located , the target area information is used to indicate the area information of the target area to which the first object needs to be docked; the first obtaining unit is used to obtain the matching degree displayed on the interactive interface based on the current area information and the target area information, wherein the matching degree It is used to indicate the matching degree between the current area and the target area; the second display unit is used to display the first prompt information on the interactive interface in response to the matching degree being greater than the target threshold, wherein the first prompt information is used to prompt when the When an object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed at a position associated with the target area.

According to another aspect of the embodiments of the present invention, another image processing apparatus is also provided. The device may include: a second acquiring unit, configured to acquire current area information and target area information associated with the first object, wherein the current area information is used to represent area information of the current area where the first object is located, and the target area information The area information used to indicate the target area to which the first object needs to be docked; the determining unit is used to determine the matching degree based on the current area information and the target area information, wherein the matching degree is used to indicate the matching degree between the current area and the target area The sending unit is used to send first prompt information to the client in response to the matching degree being greater than the target threshold, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the first object. The carried second object is detected, and the detection device is deployed at the position associated with the target area.

According to another aspect of the embodiments of the present invention, an image detection device for a vehicle is also provided. The device may include: a third display unit, configured to display current area information and target area information associated with the vehicle on the interactive interface, wherein the current area information is used to represent the area information of the current area where the vehicle is located, and the target area information It is used to indicate the area information of the target area where the vehicle needs to be parked; the third obtaining unit is used to obtain the matching degree displayed on the interactive interface based on the current area information and the target area information, wherein the matching degree is used to indicate that the current area is different from the target area. The matching degree between the target areas; the fourth display unit is configured to display first prompt information on the interactive interface in response to the matching degree being greater than the target threshold, wherein the first prompt information is used to prompt that when the vehicle is parked in the current area, Allows the detection of industrial objects carried by the vehicle by the detection equipment, which is deployed at the position associated with the target area.

According to another aspect of the embodiments of the present invention, an image processing system is further provided, including: a server configured to acquire current area information and target area information associated with the first object, and determine based on the current area information and the target area information Matching degree, where the current area information is used to indicate the area information of the current area where the first object is located, and the target area information is used to indicate the area information of the target area where the first object needs to be docked; the client is used to respond to the matching If the degree is greater than the target threshold, the first prompt information is displayed, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed. at the location associated with the target area.

According to another aspect of the embodiments of the present invention, a computer-readable storage medium is also provided, where the computer-readable storage medium includes a stored program, wherein when the program is run, a device where the storage medium is located is controlled to perform any of the image processing described above. method.

According to another aspect of the embodiments of the present invention, a processor is also provided, and the processor is configured to run a program, wherein any one of the above image processing methods is executed when the program runs.

In this embodiment of the present invention, current area information and target area information associated with the first object are displayed on the interactive interface, wherein the current area information is used to represent the area information of the current area where the first object is located, and the target area information is used to indicate the area information of the current area where the first object is located. is used to indicate the area information of the target area to which the first object needs to be docked; based on the current area information and the target area information, the matching degree displayed on the interactive interface is obtained, wherein the matching degree is used to indicate the matching between the current area and the target area In response to the matching degree being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the object carried by the first object. The second object is detected, and the detection device is deployed at the position associated with the target area. That is to say, the present application locates the current area information of the first object through real-time interaction, and when the current area information and the target area information have a good degree of matching, the second object carried by the first object can be located In this way, through a good parking area, the detection of the second object can be made more stable and accurate, thereby achieving the technical effect of improving the efficiency of object detection, and solving the low-efficiency technology of object detection. question.

Description of drawings

The accompanying drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the attached image:

1 is a block diagram of a hardware structure of a computer terminal (or mobile device) of an image processing method according to an embodiment of the present invention;

2 is a structural block diagram of a computing environment of an image processing method according to an embodiment of the present invention;

3 is a flowchart of an image processing method according to an embodiment of the present invention;

4 is a flowchart of another image processing method according to an embodiment of the present invention;

5 is a flowchart of a method for detecting an image of a vehicle according to an embodiment of the present invention;

Fig. 6 is a schematic diagram of a scrap grade judgment parking indication system according to an embodiment of the present invention;

Fig. 7 is a flow chart of a method for instructing a scrap grade to judge and stop according to an embodiment of the present invention;

8 is a flowchart of a vehicle positioning algorithm according to an embodiment of the present invention;

9 is a schematic diagram of an interactive interface display according to an embodiment of the present invention;

10 is a structural block diagram of a service mesh of an object detection method according to an embodiment of the present invention;

11 is a schematic diagram of an image processing apparatus according to an embodiment of the present invention;

12 is a schematic diagram of another image processing apparatus according to an embodiment of the present invention;

FIG. 13 is a schematic diagram of an image detection apparatus for a vehicle according to an embodiment of the present invention.

Detailed ways

In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Embodiments are part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used may be interchanged under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having" and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those expressly listed Rather, those steps or units may include other steps or units not expressly listed or inherent to these processes, methods, products or devices.

First of all, some nouns or terms that appear in the process of describing the embodiments of the present application are suitable for the following explanations:

Fully Convolutional Neural Networks (FCN for short) classify images at the pixel level, thus solving image segmentation at the semantic level, accepting input images of any size, and using a deconvolution layer to convolve the last The image of the layer is upsampled to restore it to the same size as the input image, so that a prediction can be generated for each pixel, while retaining the spatial information in the original input image, and the upsampled feature map is implemented. pixel classification;

Feedforward neural network (Fnn for short), short for feedforward network, is a kind of artificial neural network. In this kind of neural network, each neuron starts from the input layer, receives the input of the previous level, and inputs To the next level, until the output layer, there is no feedback in the entire network, which can be represented by a directed acyclic graph. The feedforward neural network is the earliest proposed artificial neural network, and it is also the simplest type of artificial neural network. According to the feedforward neural network The number of layers of the network is different, and it can be divided into a single-layer feedforward neural network and a multi-layer feedforward neural network;

A mask is a container that defines a set of graphics and uses them as a translucent medium, which can be used to combine foreground objects and backgrounds. Masks are attached to layers, and like effects and transformations, they are used as graphics. Layer properties exist;

The parking indication system is an indication system that can guide the vehicle to enter the destination parking space smoothly. It can refer to the intelligent parking guidance system that guides the vehicle into the empty parking space in the parking lot. The parking space is detected by the detector, and the empty parking space information is displayed on the display screen. Displayed information for easy parking.

Example 1

According to an embodiment of the present invention, a method embodiment of an image processing method is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases steps shown or described may be performed in an order different from that herein.

The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. FIG. 1 is a block diagram of a hardware structure of a computer terminal (or mobile device) of an image processing method according to an embodiment of the present invention. As shown in FIG. 1 , the computer terminal 10 (or the mobile device 10 ) may include one or more processors (102a, 102b, . A processing device such as an MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions. In addition, may also include: display, input/output interface (I/O interface), universal serial bus (USB) port (may be included as one of the ports of the BUS bus), network interface, power supply and/or or camera. Those of ordinary skill in the art can understand that the structure shown in FIG. 1 is only a schematic diagram, which does not limit the structure of the above electronic device. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1 , or have a different configuration than that shown in FIG. 1 .

It should be noted that the one or more processors and/or other image processing circuits described above may generally be referred to herein as "image processing circuits". The image processing circuit may be embodied in whole or in part as software, hardware, firmware or any other combination. Furthermore, the image processing circuitry may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computer terminal 10 (or mobile device). As involved in the embodiments of the present application, the image processing circuit acts as a kind of processor control (eg, selection of a variable resistance terminal path connected to the interface).

The memory 104 can be used to store software programs and modules of the application software, such as a program instruction/data storage device corresponding to the image processing method in the embodiment of the present invention, the processor executes the various software programs and modules stored in the memory 104 by running the software programs and modules. A functional application and image processing, that is, to implement the above-mentioned image processing method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, memory 104 may further include memory located remotely from the processor, and these remote memories may be connected to computer terminal 10 through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

Transmission means 106 are used to receive or transmit data via a network. A specific example of the above-mentioned network may include a wireless network provided by a communication provider of the computer terminal 10 . In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (Radio Frequency, RF) module, which is used for wirelessly communicating with the Internet.

The display may be, for example, a touch screen type liquid crystal display (LCD) that enables a user to interact with the user interface of the computer terminal 10 (or mobile device).

The block diagram of the hardware structure shown in FIG. 1 can not only be used as an exemplary block diagram of the above-mentioned computer terminal 10 (or mobile device), but also can be used as an exemplary block diagram of the above-mentioned server. In an optional embodiment, FIG. 2 is according to the present invention. A structural block diagram of a computing environment of an image processing method according to an embodiment, FIG. 2 shows an embodiment of using the computer terminal 10 (or mobile device) shown in FIG. 1 as a computing node in the computing environment 201 as a block diagram. . FIG. 2 is a structural block diagram of a computing environment of an image processing method according to an embodiment of the present invention. As shown in FIG. 2, the computing environment 201 includes a plurality of (210-1, 210- 2, ..., to show) computing nodes (such as servers). Each computing node contains local processing and memory resources, and end users 202 can run applications or store data remotely in computing environment 201 . Applications may be provided as a plurality of services 220-1, 220-2, 220-3 and 220-4 in computing environment 301, representing services "A", "D", "E" and "H", respectively.

End user 202 may provide and access services through a web browser or other software application on a client, and in some embodiments, end user 202 offers and/or requests may be provided to portal gateway 230 . Ingress gateway 230 may include a corresponding proxy to handle offers and/or requests for service 220 (one or more services provided in computing environment 201).

Services 220 are provided or deployed according to various virtualization technologies supported by computing environment 201 . In some embodiments, service 220 may be provided according to virtual machine (VM) based virtualization, container based virtualization, and/or the like. Virtual machine-based virtualization can emulate a real computer by initializing a virtual machine, executing programs and applications without directly touching any actual hardware resources. While virtual machines virtualize machines, according to container-based virtualization, containers can be launched to virtualize an entire operating system (OS) so that multiple workloads can run on a single OS instance.

In one embodiment based on container virtualization, several containers of service 220 may be assembled into a POD (eg, a Kubernetes POD). For example, as shown in FIG. 2, a service 220-2 may be equipped with one or more PODs 240-1, 240-2, . . . , 240-N (collectively referred to as PODs 240). Each POD 240 may include an agent 245 and one or more containers 242-1, 242-2, . . . , 242-M (collectively, containers 242). One or more containers 242 in the POD 240 handle requests related to one or more corresponding functions of the service, and the proxy 245 typically controls network functions related to the service, such as routing, load balancing, and the like. Other services 220 may also accompany PODs similar to PODs 240 .

During operation, executing user requests from end users 202 may require invoking one or more services 220 in computing environment 201 , executing one or more functions of one service 220 may require invoking one or more functions of another service 220 function. As shown in FIG. 2, service "A" 220-1 receives a user request from end user 202 from portal gateway 230, service "A" 220-1 may call service "D" 220-2, and service "D" 220-2 may Service "E" 220-3 is requested to perform one or more functions.

The above-mentioned computing environment may be a cloud computing environment, and the allocation of resources is managed by the cloud service provider, allowing the development of functions without considering the implementation, adjustment or expansion of the server. This computing environment allows developers to execute code in response to events without building or maintaining complex infrastructure. Instead of scaling a single hardware device to handle the underlying load, services can be split up to perform a set of functions that can be scaled independently and automatically.

Under the operating environment shown above, the present application provides the image processing method shown in FIG. 3 . It should be noted that the image processing method of this embodiment may be executed by the mobile terminal of the embodiment shown in FIG. 1 .

FIG. 3 is a flowchart of an image processing method according to Embodiment 1 of the present invention. As shown in FIG. 3 , the method may include the following steps:

Step S302, displaying current area information and target area information associated with the first object on the interactive interface, wherein the current area information is used to represent the area information of the current area where the first object is located, and the target area information is used to represent the first area. The area information of the target area to which the object needs to be docked.

In the technical solution provided by the above step S302 of the present invention, the current area information associated with the first object is acquired, and the current area information associated with the first object and the target area information to which the first object needs to be docked are displayed on the interactive interface, wherein , the interactive interface can be the interface of a mobile terminal, for example, it can be the operation interface of a portable terminal, it can be a mobile phone, a notebook, a tablet computer, or even a car computer, etc., as long as the interface that can be displayed can be used as the interactive interface in its own request, not Make specific restrictions; the first object can be any object in the target area information, and can be a movable object, such as a car, a scrap steel vehicle, etc.; the current area information can be the location information of the actual location of the current first object, the The location information can be displayed on the interactive interface in the form of a virtual frame, and can be used to represent the area information of the area where the first object is currently located, and can include location information, direction information, etc.; the target area information can be preset parking location information, which can be It is displayed on the interactive interface in the form of a virtual frame, and can also be drawn on the ground in the form of a real frame, which is used to indicate the position where the first object needs to be parked.

Optionally, the first object can be scanned by a handheld terminal to obtain the information of the first object, and the information obtained by scanning is sent to the server, and the server can process the obtained information to obtain the target area information and current area information of the first object. , transmit and display the target area information and current area information on the interactive interface.

Optionally, when the first object is a moving vehicle, and the first object drives into the target area, the first object can be scanned by the handheld terminal to determine the information of the first object, and the determined information can be the license plate and the number of the first object. System number, orientation and other information; send the determined information to the server, the server obtains the information, and the vehicle positioning algorithm can be used to determine the current area information of the first object, and at the same time, the first object is imaged to determine the target area information; The target area information and current area information are collected by the control program on the server, and the controller transmits the collected information to the interactive interface of the mobile terminal for display. The transmission mode may include wireless communication, wired communication, etc. Here No specific limitation is made.

Step S304 , based on the current area information and the target area information, obtain the matching degree displayed on the interactive interface, where the matching degree is used to indicate the matching degree between the current area and the target area.

In the technical solution provided by the above step S304 of the present invention, the position of the first object is adjusted based on the target area information displayed on the interface, the current area information is determined based on the position of the first object, and the current area information and the target area information are determined based on the current area information and the target area information. , to obtain the matching degree displayed on the interactive interface, where the matching degree can be used to indicate the matching degree between the current area and the target area, and can be calculated by a control algorithm, for example, it can be displayed in the form of numbers, characters, percentages, etc. On the interactive interface, there is no specific restriction on how the matching degree is displayed.

Optionally, the current area information and the target area information can be displayed on the interactive interface in the form of a virtual frame, or can be displayed on the target interface in the form of black and white or color pictures; based on the current area information and the target area information, determine the degree of matching. , and the matching degree can be displayed on the interactive interface in the form of numbers, percentages, scores or Chinese characters, etc. The matching degree can be displayed on the same interactive interface with the current area information and target area information, or not displayed on the same interactive interface. The first object is adjusted based on the matching degree on the interactive interface, and the adjusted current area information and target area information are displayed on the interactive interface, and the matching degree is determined based on the adjusted current area information and target area information.

For example, the user of the portable terminal, or the driver, guides the first step through the matching degree displayed on the interactive interface or the auxiliary information provided on other interfaces. For example, the auxiliary information may include moving left, moving right, or moving forward and backward The information on the movement of an object may be repeated several times to fine-tune the position of the first object, and the matching degree displayed on the interactive interface is obtained based on the current area information and the target area information.

Step S306, in response to the matching degree being greater than the target threshold, display first prompt information on the interactive interface, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection equipment is allowed to carry the first object. The second object is detected, and the detection device is deployed at the position associated with the target area.

In the technical solution provided in the above step S306 of the present invention, when it is detected that the matching degree between the target area information and the current area information is greater than the target threshold, in response to the matching degree being greater than the target threshold, the first prompt information is displayed on the interactive interface, wherein, The first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, which can be a component displayed on the interactive interface. When it is greater than the target threshold, the first prompt message "whether the detection device is allowed to detect the second object carried by the first object" is displayed on the interactive interface, and the "Yes" component can be selected by clicking to allow the detection device to detect the first object The second object carried by the object is detected. It should be noted that this is only an example, and the display method of the first prompt information is not specifically limited; the second object may be an object placed on the first object, for example, It can be scrap steel on the vehicle; the detection equipment is deployed at the position associated with the target area, for example, it can be on the side or corner of the target area, and the target area can be the placement area of the first object such as a fixed parking lot.

Optionally, when it is detected that the matching degree between the target position information of the first object and the current position information is greater than the target threshold, a first prompt signal can be output to the mobile terminal, and the first prompt information can be displayed on the interactive interface. It can be whether the detection device is allowed to detect the second object carried by the first object, and in response to selecting the allow button, the detection device deployed at the position associated with the target area is allowed to perform detection on the second object carried by the first object. detection.

Through the above steps S302 to S306 of the present application, the current area information and target area information associated with the first object are displayed on the interactive interface, wherein the current area information is used to indicate the area information of the current area where the first object is located, and the target area information The area information is used to indicate the area information of the target area to which the first object needs to be docked; based on the current area information and the target area information, the matching degree displayed on the interactive interface is obtained, wherein the matching degree is used to indicate the difference between the current area and the target area. In response to the matching degree being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the first object. The second object carried is detected, and the detection device is deployed at the position associated with the target area. That is to say, the present application locates the current area information of the first object by means of real-time interaction. When the area information has a good degree of matching, the second object carried by the first object is detected, so that the detection of the second object is more stable and accurate through a good parking area, thereby improving the detection of the object. The technical effect of detection efficiency solves the technical problem of low detection efficiency for objects.

The above method of this embodiment will be further described below.

As an optional implementation manner, step S304, based on the current area information and the target area information, obtaining the matching degree displayed on the interactive interface, including: obtaining the matching degree from the server, wherein the matching degree is determined by the server based on the current The area information and the target area information are determined.

In this embodiment, the matching degree can be determined based on the current area information and the target area information. For example, the current area information and the target area information can be detected by a control algorithm on the server, and the current area information and the target area information displayed on the interactive interface can be determined. The matching degree of the target area information, the interactive interface obtains the matching degree from the server and displays it on the interactive interface.

Optionally, in the related art, it is usually combined with the location information of the on-site distance sensor to determine whether the vehicle is parked in place, but the cost is high, and the present application determines the matching degree based on the current area information and the target area information, and determines whether the target vehicle is based on the matching degree. When parking in place, it is not necessary to transmit all the information to the mobile terminal, which can reduce the bandwidth and quickly realize the interaction between the front-end and back-end vehicle positioning algorithms.

As an optional implementation manner, in response to the matching degree not being greater than the target threshold, second prompt information is displayed on the interactive interface, where the second prompt information is used to prompt adjustment of current area information.

In this embodiment, the matching degree from the server is acquired, and when the matching degree is not greater than the target threshold, in response to the matching degree not being greater than the target threshold, second prompt information is displayed on the interactive interface, where the second prompt information may be Auxiliary information to guide the movement of the vehicle displayed on the components on the interactive interface. For example, the auxiliary information may include information such as: moving left, moving right, or moving forward and backward, which is used to prompt the operation object; the operation object may be the driver, the mobile terminal The holder or the like, without any specific limitation, adjusts the current area information (current position) of the first object.

Optionally, the user of the portable terminal, or the driver, can adjust the position of the current area information of the first object through the matching degree displayed on the interactive interface or the second prompt information provided on other interfaces, which may be repeated several times. , wherein the auxiliary information and the matching degree can be displayed on the same interactive interface, or can be displayed on a different interactive interface, which is not specifically limited here.

For example, there may be a simplified diagram of the current area information and target area information on the interactive interface, and the fine-tuning process can be fully reflected on the interactive interface. The position of the first object is adjusted.

As an optional implementation manner, acquiring the matching degree displayed on the interactive interface based on the current area information and the target area information includes: acquiring the adjustment displayed on the interactive interface based on the target area information and the adjusted current area information post-match.

In this embodiment, the target area information of the first object is adjusted, the matching degree between the adjusted current area information and the target area information is compared, and the calculated matching degree is displayed on the interactive interface.

As an optional implementation manner, the movement information of the first object is displayed on the interactive interface, wherein the movement information is used to represent the movement state of the first object and is used to adjust the current area information with the matching degree.

In this embodiment, the movement information of the first object may be displayed on the interactive interface, where the movement information may be used to represent the movement state of the first object, and may be auxiliary information for guiding the movement of the vehicle, such as moving to the left, Move right or move back and forth, etc.

Optionally, there are multiple different interactive interfaces in the software, you can change the interactive interface of the software by sliding or clicking. Based on the movement information, the position of the first object is adjusted.

As an optional implementation manner, displaying the current area information and the target area information associated with the first object on the interactive interface includes: displaying the current area information and the target area information on the interactive interface, and prohibiting the display of information other than the current area information and information other than the target area information.

In this embodiment, only the current area information and the target area information need to be displayed on the interactive interface. To ensure low bandwidth, it is forbidden to display the current area information and the target area information on the interactive interface that displays the current area information and the target area information. Other information, where the information prohibited from being displayed may be information such as color images obtained by the current camera.

Optionally, on the interactive interface that displays the current area information and the target area information, it is not necessary to display all the information obtained by the camera, or for real-time and low bandwidth, only the virtual frame of the target area information and the virtual frame of the current area information can be displayed. box, thereby ensuring low bandwidth and improving image information security.

In this embodiment of the present invention, the present application displays current area information and target area information associated with the first object on the interactive interface, where the current area information is used to represent the area information of the current area where the first object is located, and the target area The information is used to indicate the area information of the target area to which the first object needs to be docked; based on the current area information and the target area information, the matching degree displayed on the interactive interface is obtained, wherein the matching degree is used to indicate the difference between the current area and the target area the matching degree; in response to the matching degree being greater than the target threshold, display first prompt information on the interactive interface, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the first object. The second object carried is detected, and the detection device is deployed at the position associated with the target area. That is to say, the present application locates the current area information of the first object by means of real-time interaction. When the information has a good degree of matching, the second object carried by the first object is detected, so that the detection of the second object is more stable and accurate through a good docking area, thereby improving the detection of objects. The technical effect of high efficiency solves the technical problem of low efficiency of object detection.

The embodiment of the present invention also provides another image processing method from the server side.

FIG. 4 is a flowchart of another image processing method according to an embodiment of the present invention. As shown in Figure 4, the method may include the following steps.

Step S402: Acquire current area information and target area information associated with the first object, wherein the current area information is used to indicate the area information of the current area where the first object is located, and the target area information is used to indicate that the first object needs to be docked to. area information of the target area.

In the technical solution provided by the above step S402 of the present invention, the server obtains current area information and target area information associated with the first object, wherein the current area information can be used to indicate the information of the area where the first object is currently located; the target area information It can be used to indicate the area information where the first object needs to be docked to the target area. The target area can be any area where the first object can be placed, or it can be an actual planned site; the first object can be any object in the target area information, Can be movable objects, such as cars, scrap vehicles, etc.

Optionally, when the first object enters the target area, the information of the first object is obtained, and the obtained information is processed. The processing may be to use an algorithm to process the obtained data, etc. The processing method is not specifically limited here; determine; Current area information and target area information associated with the first object.

For example, when the first object is a vehicle, the first object enters the target area and obtains the information of the incoming car of the first object. The incoming car information may include the license plate of the first object, system number, orientation and other information; the information obtained by scanning in the future The information is sent to the server, and the vehicle positioning algorithm on the server can perform real-time calculation based on the incoming vehicle information to determine the current area information; at the same time, the preset field of view is imaged to obtain the target area information; the control program in the server can be used to make the server The current area information and the target area information are acquired, wherein the incoming vehicle information can be scanned by the handheld terminal of the on-site worker.

It should be noted that, in the related art, an additional distance sensor is usually added at a fixed parking position to determine the information of oncoming vehicles, but this method has a long laying period and has the problem of increasing the integration cost of the system. In the present application, based on camera imaging, a fixed parking position is adopted, so that the current area information and target area information of the vehicle can be determined in real time without increasing the cost and cycle.

Step S404 , determining a matching degree based on the current area information and the target area information, where the matching degree is used to indicate the matching degree between the current area and the target area.

In the technical solution provided by the above step S404 of the present invention, based on the target area information displayed on the interactive interface, the position of the first object is continuously adjusted, and the current area information is determined based on the adjusted position of the first object, and based on the current area information and The target area information determines the degree of matching, where the degree of matching can be used to represent the degree of matching between the current area and the target area, and can be calculated by a control algorithm.

Step S406, in response to the matching degree being greater than the target threshold, send first prompt information to the client, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the object carried by the first object. The second object is detected, and the detection device is deployed at the position associated with the target area.

In the technical solution provided in the above step S406 of the present invention, the matching degree is determined based on the current area information and the target area information, and whether the matching degree is greater than the target threshold is judged, and in response to the matching degree being greater than the target threshold, the server sends the first prompt information to the client , where the target threshold can be a set value, which is not specifically limited here, and the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object. For detection, it can be a component displayed on the interactive interface. For example, when the matching degree is greater than the target threshold, the interactive interface displays the first question “whether the detection device is allowed to detect the second object carried by the first object”. For prompt information, you can click to select the "Yes" component to allow the detection device to detect the second object carried by the first object. It should be noted that this is only an example, and the display method of the first prompt information is not made. Specifically defined; the second object can be the object placed on the first object, for example, it can be scrap steel on a vehicle; the detection equipment is deployed at a position associated with the target area, for example, it can be on the side or corner of the target area, The target area may be a placement area of a first object such as a fixed parking lot.

Optionally, when the matching degree between the current area information and the target area information exceeds the target threshold, a first prompt signal is output to the mobile terminal (for example, it can be a portable terminal), and the first prompt information is displayed on the interactive interface. It can be whether the detection device is allowed to detect the second object carried by the first object, and in response to selecting the allow button, the detection device deployed at the position associated with the target area is allowed to perform detection on the second object carried by the first object. detection.

For example, when the first object is a vehicle, the first object enters the target area, the current area information and the target area information of the first pair of objects are determined, and the current area information is determined based on the current area information and the target area information of the first object The matching degree with the target area information, when the matching degree between the current area information and the target area information is greater than the target threshold, the server sends the first prompt information to the client, and responds to the client terminal selecting to allow the detection device to carry the first object. The detection device starts to detect the second object, and the detection device can detect the captured picture to determine the information of the second object.

Through the above steps S402 to S406 of the present application, the current area information and target area information associated with the first object are acquired, wherein the current area information is used to indicate the area information of the current area where the first object is located, and the target area information is used to Indicates the area information of the target area to which the first object needs to be docked; the matching degree is determined based on the current area information and the target area information, wherein the matching degree is used to indicate the matching degree between the current area and the target area; in response to the matching degree being greater than the target area Threshold, send first prompt information to the client, where the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed at the location associated with the target area. That is to say, the present application locates the current area information of the first object by means of real-time interaction, and when the current area information and the target area information have a good degree of matching, the second object carried by the first object is located. Therefore, through a good parking area, the detection of the second object is more stable and accurate, thereby achieving the technical effect of improving the efficiency of object detection, and solving the technical problem of low object detection efficiency.

The above method of this embodiment will be further described below.

As an optional implementation manner, acquiring the current area information associated with the first object includes: acquiring an original image of the first object acquired by an image acquisition device, wherein the image acquisition device is deployed at a position associated with the target area above; determining the mask information of the first object based on the original image, wherein the mask information is used to represent the current position of the first object; determining the current area information based on the mask information.

In this embodiment, the image acquisition device may be deployed at a position associated with the target area, the current area information of the first image is acquired by the image acquisition device, the original image of the first object is acquired, and the first object is determined based on the original image. The mask information of an object, and the current area information is determined based on the mask information, wherein, the image acquisition device can be a device that can perform image acquisition, and can be a device capable of photography and video recording, such as cameras, mobile phones, monitoring, etc., here No specific restrictions are made; the original image can be the original color image collected; the mask information can be 1 and 0, and the area with the mask value of 1 can be represented as the current area information of the first object; the mask information can be the car's A mask for the current region information.

Optionally, the image acquisition device is deployed at a position associated with the target area. When the first object enters the target area, the current area information of the first image can be collected by the image acquisition device to obtain the original image of the first object. For example, when the image acquisition device is a camera, the original image of the first object can be obtained by shooting, and the original image can be processed through a deep learning algorithm to obtain the mask information of the first object, which is determined based on the mask information. For the current area information, in this embodiment, the image acquisition device can be arranged at a position associated with the target area, and can be completely separated from the first object, without using the image acquisition device to automatically track and locate the vehicle.

Optionally, the original image of the first object may be collected by an image collection device, and the collected original image may be input into a positioning algorithm to obtain a mask of the current area information of the vehicle, wherein the positioning algorithm may be a deep learning algorithm, and the mask The information can be 1 and 0, and the area with the mask value of 1 can be represented as the current area information of the vehicle. Through the above process, the current area information is determined to complete the positioning of the vehicle.

Optionally, in this embodiment, when the image acquisition device is a camera and the first object is a vehicle, the camera and the vehicle are completely separated, and the camera can be located in a fixed position according to the actual situation. The side or corner of the fixed parking lot is only related to the target area, not the target object.

As an optional implementation manner, acquiring target area information associated with the first object to obtain the target area includes: in response to detecting the first object, outputting a control instruction to an image capture device, where the image capture device is deployed in the target area on the associated position; obtain the target area information collected by the image collection device in response to the control instruction.

In this embodiment, when the first object is in the target area, the first object on the target area is detected, and in response to the detection of the first object on the target area, a control instruction is output to the image acquisition device, and the image acquisition device responds to the control instruction , image the preset field of view to obtain target area information.

Optionally, when the first object is a vehicle, after acquiring the vehicle information on the target area, in response to the detected vehicle information of the first object, a control instruction is output to the image acquisition device, and the image acquisition device responds to the control instruction, Image the preset field of view to obtain target area information.

As an optional implementation manner, the current area information and the target area information are delivered to the client for display.

In this embodiment, the collected target area information and the current position information output by the positioning algorithm can be sent to the client through wireless communication and other means for display through the control program, wherein the client can be a mobile terminal, or Other terminals with an interactive interface, for example, may be software or small programs of a portable terminal.

It should be noted that, on the interactive interface of the present application, the color image obtained by the current camera can be displayed, or for real-time and low bandwidth, only the virtual frame of the preset position information and the virtual frame of the current position information can be displayed to ensure that the User's image data information security issues.

The embodiment of the present invention also provides an image detection method of a vehicle in the scene of scrap steel judging parking.

FIG. 5 is a flowchart of a method for detecting an image of a vehicle according to an embodiment of the present invention. As shown in Figure 5, the method may include the following steps.

Step S502, displaying the current area information and target area information associated with the vehicle on the interactive interface, wherein the current area information is used to indicate the area information of the current area where the vehicle is located, and the target area information is used to indicate the target to which the vehicle needs to park. Area information for the area.

In the technical solution provided by the above step S502 of the present invention, the current area information and target area information associated with the vehicle are displayed on the interactive interface, wherein the current area information is used to indicate the area information of the current area where the vehicle is located, and the target area information The area information used to indicate the target area where the vehicle needs to be parked can be a preset parking position delineated on the ground, or a virtual frame that only exists on the interactive interface.

Optionally, since it is difficult to have space and stability at the scrap loading and unloading site to arrange specific parking preset markers, the current area information and target area information associated with the vehicle can be displayed on the interactive interface (which can be displayed in a virtual frame. Through the display on the interactive interface, the matching degree between the current position information of the vehicle and the preset parking position can be perceived.

Step S504, based on the current area information and the target area information, obtain the matching degree displayed on the interactive interface, where the matching degree is used to indicate the matching degree between the current area and the target area.

In the technical solution provided in the above step S504 of the present invention, the matching degree between the current area information and the target area information is determined based on the current area information and the target area information, and the matching degree is displayed on the interactive interface. The object is adjusted, wherein the matching degree can be used to indicate the matching degree between the current area and the target area.

Step S506, in response to the matching degree being greater than the target threshold, display first prompt information on the interactive interface, wherein the first prompt information is used to prompt that when the vehicle is parked in the current area, the detection device is allowed to perform the inspection on the industrial object carried by the vehicle. Detection, detection equipment is deployed at the location associated with the target area.

In the technical solution provided in the above step S506 of the present invention, the matching degree between the current area information and the target area information is determined based on the current area information and the target area information, and the matching degree is displayed on the interactive interface. The object is adjusted until the matching degree between the current area information and the target area information is greater than the target threshold. Corresponding to the matching degree being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt when the vehicle is parked. In the current area, the detection equipment is allowed to detect the industrial objects carried by the vehicle, and the detection equipment is deployed at the position associated with the target area.

Optionally, the first object may be adjusted based on the matching degree of the interactive interface until the matching degree is greater than the target threshold, and other auxiliary information may also be displayed on the interactive interface, such as moving to the left, moving to the right, etc., based on the auxiliary information. The first object is moved, and based on the movement of the first object, the matching degree between the current area information and the target area information is calculated in real time, and when the matching degree is greater than the target threshold, in response to the matching degree being greater than the target threshold, the first object is displayed on the interactive interface. Prompt information, the first prompt information can be displayed on the interactive interface by allowing or disallowing components, and in response to the allowable operation, the detection device detects the industrial object carried by the vehicle.

Optionally, after the parking is completed, the special unloading scrap steel system starts unloading the scrap steel. After each surface of the scrap steel is unloaded, the camera captures several pictures, and the scrap steel grading system is used to locate and grade the scrap steel. After the complete vehicle is unloaded, the grading system outputs a comprehensive judging result, and the present application makes this grading result more stable by providing a good parking position.

As an optional implementation manner, the target area information is not deployed in the scene where the vehicle is located.

In this embodiment, since it is difficult to have space and stability at the scrap steel loading and unloading site to arrange specific parking preset markers, the target area information may not be deployed in the scene where the vehicle is located, and may be displayed on the interactive interface with the Vehicle-related current area information and target area information (which can be displayed in the form of virtual boxes).

As an optional implementation manner, a mask of the current region is displayed on the interactive interface, wherein the mask is obtained by converting information of the current region based on deep learning.

In this embodiment, based on the deep learning system, the current area information is converted to obtain the mask of the current area of the vehicle, and the mask of the current area is displayed on the interactive interface, wherein the mask can be 1 and 0, and the mask A value of 1 can be represented as the current area of the first object.

Optionally, the image acquisition device is deployed at a position associated with the target area. When the first object enters the target area, the current area information of the first image can be collected by the image acquisition device, and the collected data can be collected through a deep learning algorithm. The information of the current area is processed to obtain the mask of the current area, and the mask of the current area is displayed on the interactive interface, so as to realize the purpose of determining the information of the current area based on the mask information.

In the embodiment of the present invention, current area information and target area information associated with the vehicle are displayed on the interactive interface, wherein the current area information is used to indicate the area information of the current area where the vehicle is located, and the target area information is used to indicate the needs of the vehicle Area information of the docked target area; based on the current area information and target area information, obtain the matching degree displayed on the interactive interface, where the matching degree is used to indicate the matching degree between the current area and the target area; in response to the matching degree If the value is greater than the target threshold, the first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt that when the vehicle is parked in the current area, the detection device is allowed to detect the industrial object carried by the vehicle, and the detection device is deployed on the target. at the location associated with the area. That is to say, the present application locates the current area information of the first object through real-time interaction, and when the current area information and the target area information have a good degree of matching, the second object carried by the first object can be located In this way, through a good parking area, the detection of the second object can be made more stable and accurate, thereby achieving the technical effect of improving the efficiency of object detection, and solving the low-efficiency technology of object detection. question.

Example 2

The preferred implementation of the above-mentioned method of this embodiment will be further introduced below, and a specific description will be given with a scrap steel grade judging parking indication system.

Scrap grading can be used to guide customers and drivers to properly and appropriately stack scrap vehicles for parking. It is generally embedded in the existing scrap grading system. In the process of scrap grading, the relevant technology is based on vision. The number of cameras is used to perform tomography on the scrap steel in the carriage during the loading and unloading process. However, based on the visual analysis results, a large part depends on whether the vehicle is properly parked. The lack of source information for visual analysis resulted in inaccurate scrap grading.

In the related art, scrap steel vehicles do not need to fix the parking position, only high-definition cameras are used for automatic tracking and positioning. However, because the guardrails of scrap steel vehicles are often high, after the camera position is fixed, even if the camera has three-dimensional rotation and optical zoom functions, in In some perspectives, there is still a large occlusion of the vehicle guardrail, resulting in incomplete information on scrap grading and inaccurate results.

Based on the above problems, an artificial intelligence scrap steel deduction and miscellaneous rating method is proposed. This method automatically identifies the contour information of the vehicle, and combines the location information of the on-site distance sensor to determine whether the vehicle is parked in place. If the requirements are not met, the system prompts the driver to park the vehicle in place. However, in this method, the system is specially equipped with additional auxiliary hardware such as distance sensors, which has the problem of relatively high installation cost and cycle.

In view of the above problems, this application proposes a scrap grade parking indication system, which uses the vehicle positioning algorithm to interact and instruct the driver in real time, and does not need to transmit all the information of the camera to the software or applet, so as to realize the real-time communication with the driver. Interaction and interaction, instructing it to park reasonably, loading and unloading scrap and judging grades, it can quickly realize the interaction between the front-end and back-end vehicle positioning algorithms with extremely low bandwidth, and improve the driver's parking experience.

The embodiments of the present invention will be further introduced below.

In this embodiment, a parking indication system is installed at a fixed parking place where a vehicle loaded with scrap steel enters. Fig. 6 is a schematic diagram of a parking indication system for judging grades of scrap steel according to an embodiment of the present invention, as shown in Fig. 6 , The entire system components may include a preset parking position 602 , a camera 601 , a server 604 , and a portable terminal 605 (including but not limited to a mobile phone), wherein the portable terminal 605 can communicate with the server 604 wirelessly.

Fig. 7 is a flow chart of a method for instructing a scrap grade to stop according to an embodiment of the present invention. As shown in Fig. 7 , the method may include the following steps:

In step S701, the scrap steel vehicle enters a preset parking position.

In this embodiment, after the server obtains the incoming vehicle information, it controls the camera to start imaging the preset field of view. The vehicle positioning algorithm on the server (which can be calculated by a deep learning algorithm) can be used for real-time running calculation to obtain the preset For the parking position, the control program on the server can transmit the collected preset parking position information and the position information output by the positioning algorithm to the portable terminal through wireless communication, and the scrap steel vehicle drives into the preset parking position based on the position information.

Optionally, the information about the incoming car can be scanned by the hand-held terminal of the on-site worker to obtain information such as the license plate and system number of the incoming car, and send it to the server.

Step S702, the server side captures the preset parking position/vehicle positioning algorithm position.

In this embodiment, the server side captures the preset parking position/vehicle positioning algorithm position, wherein FIG. 8 is a flowchart of a vehicle positioning algorithm according to an embodiment of the present invention, as shown in FIG. 8 , the vehicle positioning algorithm position can be Calculated by the following steps.

Step S801, acquiring an input image.

The input of the positioning algorithm is the original color image of the camera, and the original color image of the camera is obtained to achieve the purpose of obtaining the input avatar.

Step S802, perform convolution layer 1 and max pooling processing on the image.

In this embodiment, convolution layer 1 and maximum pooling are performed on the image, wherein the convolution kernel of convolution layer 1 may be 64 (7*7), and the maximum pooling may be (3*3).

Step S803, the image is processed by convolution layer 2 and convolution layer 3.

Optionally, the convolution layer 2 and the convolution layer 3 are processed on the image after the convolution layer 1 and the maximum pooling process, wherein the convolution kernel of the convolution layer 2 can be 64 (3*3); The convolution kernel of convolutional layer 3 can be 128 (3*3).

Step S804 , the processing of the convolution layer 4 and the convolution layer 5 is performed on the processed image.

Optionally, the image processed by the convolution layer 2 and the convolution layer 3 is processed by the convolution layer 4 and the convolution layer 5, wherein the convolution kernel of the convolution layer 4 can be 128 (3*3), The stride is 2 (s=2); the convolution kernel of convolutional layer 5 can be 256 (3*3).

In step S805, the processing of the convolution layer 6 and the convolution layer 7 is performed on the processed image.

Optionally, the image processed by the convolution layer 4 and the convolution layer 5 is processed by the convolution layer 6 and the convolution layer 7, wherein the convolution kernel of the convolution layer 6 can be 256 (3*3), The stride is 2 (s=2); the convolution kernel of convolutional layer 7 can be 256 (3*3).

Step S806, the processing of the convolution layer 8 and the convolution layer 9 is performed on the processed image.

Optionally, the image processed by the convolution layer 6 and the convolution layer 7 is processed by the convolution layer 8 and the convolution layer 9, wherein the convolution kernel of the convolution layer 8 can be 256 (3*3), The stride is 2 (s=2); the convolution kernel of convolutional layer 9 can be 256 (3*3).

Step S807, the processed image is processed by convolution layer 7, convolution layer 10, addition layer 1 and upsampling layer 1.

Optionally, the images processed by the convolution layer 8 and the convolution layer 9 are processed by the convolution layer 7, the convolution layer 10, the addition layer 1 and the upsampling layer 1, wherein the convolution layer 10 is convolutional layer 1. The kernel can be 256 (3*3), and the upsampling layer 1 can be 2 times upsampling.

Step S808 , the processed image is processed by convolution layer 5 , convolution layer 10 , addition layer 2 and upsampling layer 2 .

Optionally, the image processed by convolution layer 7, convolution layer 10, addition layer 1 and upsampling layer 1 is processed by convolution layer 5, convolution layer 10, addition layer 2 and upsampling layer 2 , where the upsampling layer 2 can be 2 times upsampling.

Step S809 , upsampling 3 is performed on the processed image.

Optionally, the image processed by the convolution layer 5, the convolution layer 10, the addition layer 2 and the upsampling layer 2 is processed by the upsampling layer 3, wherein the upsampling layer 3 may be up-sampling by 4 times.

Step S810, output the mask image.

Optionally, through the deep learning algorithm in FIG. 6, output a mask of the position information of the current car, wherein the values of the mask can be 0 and 1, and the area where the mask value is 1 is the current car’s position information mask. location information.

Optionally, the preset parking position is obtained by calculation through a vehicle positioning algorithm.

Step S703, the portable terminal receives the location information, displays and prompts the parking matching degree.

In this embodiment, the preset parking position and the actual position of the vehicle are compared to obtain the position matching degree. FIG. 9 is a schematic diagram of an interactive interface display according to an embodiment of the present invention. As shown in FIG. 9 , on the interface on the portable terminal Display the preset parking position and the actual parking position of the vehicle, and display the position matching degree on the interactive interface.

Optionally, it is difficult to have space and stability to arrange specific parking preset marks due to the scrap loading and unloading site. Therefore, the preset parking spaces delineated in Figure 9 can be virtual, that is, only exist in the map. On the interface in Figure 9, it is presented to the driver. Through the interactive interface in Figure 9, the matching degree between the current vehicle position and the preset parking position can be sensed, and the difference between the vehicle and the preset parking position in the interactive interface can be given to the vehicle position. make adjustments.

Step S704, it is judged whether the matching degree of the vehicle meets the standard.

In this embodiment, the control algorithm on the server detects the matching degree between the preset parking position and the real-time position of the vehicle, and judges whether the matching degree of the vehicle meets the standard. The fine-tuning of the parking position may be repeated several times through the position matching degree displayed on the interactive interface or the auxiliary information provided on other interfaces, until the parking matching degree reaches the standard.

The auxiliary information may be information that guides the movement of the vehicle, for example, may be information such as moving to the left, moving to the right, or moving forward and backward.

In step S705, the parking ends.

When the control algorithm on the server detects that the preset parking position and the real-time position of the vehicle have a high degree of matching, and exceeds a certain threshold, it outputs a prompt signal to the portable terminal to complete the parking of the scrap steel vehicle, and the parking is over.

Optionally, after the parking is completed, the special unloading scrap steel system starts unloading the scrap steel. After each surface of the scrap steel is unloaded, the camera captures several pictures, and the scrap steel grading system is used to locate and judge the grade of the scrap steel. After the complete car is finally unloaded, the grading system outputs the comprehensive judging results. Please determine a good parking position to make the grading results more stable.

In this application, the camera is completely separated from the vehicle, and the camera is arranged in a fixed position according to the requirements of the scrap grading system, for example, on the side or corner of a fixed parking space, and is not associated with the scrap vehicle; at the same time, In order to ensure the security of user information, this application supports a mask that only displays the preset parking space and the current vehicle position output by the algorithm to remind the driver of the matching degree of the current parking, so as to realize that the scene color picture of scrap steel is not displayed on the terminal. .

In this application, the interaction process, function and interface between the parking position of the scrap steel vehicle and the parking software or applet, wherein the interface further includes a virtual frame for the preset parking position, and a virtual frame representing the current vehicle position. On the interactive interface, It can display the color image obtained by the current camera, or only display the virtual frame of the preset parking position and the virtual frame of the real-time position of the current vehicle for real-time and low-bandwidth purposes. At the same time, it can ensure the security of the user's image data information; The camera is separated from the vehicle and arranged in a predetermined position, thus solving the technical problem of long laying cycle and high cost.

The present application locates the current area information of the first object by means of real-time interaction, and when the current area information and the target area information have a good degree of matching, the second object carried by the first object can be detected, so that Through a good parking area, the detection of the second object can be made more stable and accurate, thereby achieving the technical effect of improving the efficiency of object detection, and solving the technical problem of low object detection efficiency.

In another optional embodiment, FIG. 10 shows a block diagram of an embodiment of using the computer terminal 10 (or mobile device) shown in FIG. 1 as a service mesh. FIG. 10 is a structural block diagram of a service mesh of an object detection method according to an embodiment of the present invention. As shown in FIG. 10 , the service mesh 1000 is mainly used to facilitate secure and reliable communication between multiple microservices , Microservices refers to the decomposition of an application into multiple smaller services or instances and distributed to run on different clusters/machines.

As shown in FIG. 10 , the microservice may include an application service instance A and an application service instance B, and the application service instance A and the application service instance B form a functional application layer of the service mesh 1000 . In one embodiment, application service instance A runs in the form of a container/process 1008 in the machine/workload container group 1104 (POD), and application service instance B runs in the form of a container/process 1100 in the machine/workload container group 1104 1106 (POD).

In one embodiment, the application service instance A may be a commodity query service, and the application service instance B may be a commodity ordering service.

As shown in FIG. 10 , the application service instance A and the sidecar 1003 coexist in the machine workload container group 614 , and the application service instance B and the sidecar 1005 coexist in the machine workload container 114 . Grid proxy 1003 and grid proxy 1005 form the data plane of service mesh 1000 . Among them, the grid agent 1003 and the grid agent 1005 are respectively in the form of a container/process 1004, the container/process 1004 can receive the request 112 for commodity query service, the grid agent 1006 is running, and the grid agent 1003 and The application service instance A can communicate in both directions, and the grid proxy 1005 and the application service instance B can communicate in both directions. In addition, two-way communication between grid proxy 1003 and grid proxy 1005 is also possible.

In one embodiment, all traffic for application service instance A is routed through mesh proxy 1003 to the appropriate destination, and all network traffic for application service instance B is routed through mesh proxy 1005 to the appropriate destination. It should be noted that the network traffic mentioned here includes but is not limited to Hyper Text Transfer Protocol (Hyper Text Transfer Protocol, referred to as HTTP), Representational State Transfer (Representational State Transfer, referred to as REST), high-performance, general-purpose open source Framework (gRPC), open source in-memory data structure storage system (Redis) and other forms.

In one embodiment, the function of extending the data plane layer can be implemented by writing a custom filter (Filter) for the proxy (Envoy) in the service mesh 1000. The service mesh proxy configuration can be used to enable the service mesh Properly proxy service traffic to achieve service interoperability and service governance. Grid proxy 1003 and grid proxy 1005 may be configured to perform at least one of the following functions: service discovery, healthchecking, routing, load balancing, authentication and authorization (authentication and authorization), and observability (observability).

As shown in Figure 10, the service mesh 1000 also includes a control plane layer. The control plane layer may be a set of services running in a dedicated namespace, which are hosted by the hosting control plane component 1001 in a machine/workload container group (machine/Pod) 1002 . As shown in FIG. 10, hosted control plane component 1001 is in bidirectional communication with grid proxy 1003 and grid proxy 1005. The managed control plane component 1001 is configured to perform some control management functions. For example, hosted control plane component 1001 receives telemetry data transmitted by grid proxy 1003 and grid proxy 1005, and can further aggregate the telemetry data. For these services, the hosted control plane component 1001 may also provide user-facing application programming interfaces (APIs) for easier manipulation of network behavior, as well as provision of configuration data to grid proxy 1003 and grid proxy 1005, and the like. It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. As in accordance with the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

From the description of the above embodiments, those skilled in the art can clearly understand that the image processing method according to the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases The former is a better implementation. Based on this understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products are stored in a storage medium (such as ROM/RAM, magnetic disk, CD-ROM), including several instructions to make a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present invention.

Example 3

According to an embodiment of the present invention, an image processing apparatus for implementing the image processing method shown in FIG. 3 is also provided.

FIG. 11 is a schematic diagram of an image processing apparatus according to an embodiment of the present invention. As shown in FIG. 11 , the image processing apparatus 1100 may include: a first display unit 1102 , a first acquisition unit 1104 and a second display unit 1106 .

The first display unit 1102 is configured to display current area information and target area information associated with the first object on the interactive interface, wherein the current area information is used to represent the area information of the current area where the first object is located, and the target area information The area information used to indicate the target area to which the first object needs to be docked.

The first obtaining unit 1104 is configured to obtain the matching degree displayed on the interactive interface based on the current area information and the target area information, where the matching degree is used to indicate the matching degree between the current area and the target area.

The second display unit 1106 is configured to display first prompt information on the interactive interface in response to the matching degree being greater than the target threshold, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to The second object carried by the first object is detected, and the detection device is deployed at a position associated with the target area.

It should be noted here that the above-mentioned first display unit 1102 , first acquisition unit 1104 and second display unit 1106 correspond to steps S302 to S306 in Embodiment 1, and the three units and corresponding steps are implemented by the examples and The application scenarios are the same, but are not limited to the content disclosed in the first embodiment. It should be noted that, as a part of the apparatus, the above-mentioned unit may run in the computer terminal 10 provided in the first embodiment.

According to an embodiment of the present invention, an image processing apparatus for implementing the image processing method shown in FIG. 4 is also provided.

FIG. 12 is a schematic diagram of another image processing apparatus according to an embodiment of the present invention. As shown in FIG. 12 , the image processing apparatus 1200 may include: a second acquiring unit 1202 , a determining unit 1204 and a sending unit 1206 .

The second acquiring unit 1202 is configured to acquire current area information and target area information associated with the first object, wherein the current area information is used to represent the area information of the current area where the first object is located, and the target area information is used to represent the first The area information of the target area to which an object needs to be docked.

The determining unit 1204 is configured to determine the matching degree based on the current area information and the target area information, where the matching degree is used to indicate the matching degree between the current area and the target area.

The sending unit 1206 is configured to send first prompt information to the client in response to the matching degree being greater than the target threshold, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the first object. The carried second object is detected, and the detection device is deployed at the position associated with the target area.

It should be noted here that the above-mentioned second obtaining unit 1202, determining unit 1204, and sending unit 1206 correspond to steps S402 to S406 in Embodiment 1, and the three units have the same instances and application scenarios as the corresponding steps. However, it is not limited to the content disclosed in the first embodiment above. It should be noted that, as a part of the apparatus, the above-mentioned unit may run in the computer terminal 10 provided in the first embodiment.

According to an embodiment of the present invention, a vehicle image detection apparatus for implementing the vehicle image detection method shown in FIG. 5 is also provided.

FIG. 13 is a schematic diagram of an image detection apparatus for a vehicle according to an embodiment of the present invention. As shown in FIG. 13 , the image detection apparatus 1300 of the vehicle may include: a third display unit 1302 , a third acquisition unit 1304 and a fourth display unit 1306 .

The third display unit 1302 is configured to display current area information and target area information associated with the vehicle on the interactive interface, wherein the current area information is used to represent the area information of the current area where the vehicle is located, and the target area information is used to represent the vehicle The area information of the target area to be docked to.

The third obtaining unit 1304 is configured to obtain the matching degree displayed on the interactive interface based on the current area information and the target area information, wherein the matching degree is used to indicate the matching degree between the current area and the target area.

The fourth display unit 1306 is configured to display first prompt information on the interactive interface in response to the matching degree being greater than the target threshold, wherein the first prompt information is used to prompt that when the vehicle is parked in the current area, the detection device is allowed to detect the detection of the vehicle. The carried industrial objects are detected, and the detection equipment is deployed at the position associated with the target area.

It should be noted here that the above-mentioned third display unit 1302, third acquisition unit 1304 and fourth display unit 1306 correspond to steps S502 to S506 in Embodiment 1, and the three units and corresponding steps are implemented by The application scenarios are the same, but are not limited to the content disclosed in the first embodiment. It should be noted that, as a part of the apparatus, the above-mentioned unit may run in the computer terminal 10 provided in the first embodiment.

In the object detection device of this embodiment, the original network data to be transmitted by the client is acquired through the first acquisition unit; the current area information and target area information associated with the first object are displayed on the interactive interface through the first display unit , where the current area information is used to represent the area information of the current area where the first object is located, and the target area information is used to represent the area information of the target area where the first object needs to be docked; through the first acquisition unit, based on the current area information and target area information, to obtain the matching degree displayed on the interactive interface, wherein the matching degree is used to represent the matching degree between the current area and the target area; through the second display unit, in response to the matching degree being greater than the target threshold, in the interactive interface The first prompt information is displayed on the screen, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed in the target area. at the associated location. That is to say, the present application locates the current area information of the first object through real-time interaction, and when the current area information and the target area information have a good degree of matching, the second object carried by the first object can be located In this way, through a good parking area, the detection of the second object can be made more stable and accurate, thereby achieving the technical effect of improving the efficiency of object detection, and solving the low-efficiency technology of object detection. question.

Example 4

Embodiments of the present application may provide an image processing system, where the image processing system may include a server and a client, and the computer terminal may be any computer terminal device in a computer terminal group. Optionally, the image processing device includes: a server for acquiring current area information and target area information associated with the first object, and determining a degree of matching based on the current area information and the target area information, wherein the current area information is used to represent The area information of the current area where the first object is located, and the target area information is used to indicate the area information of the target area where the first object needs to be docked; the client is used to display the first prompt information in response to the matching degree being greater than the target threshold, The first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed at a position associated with the target area.

In this embodiment of the present invention, the current area information and target area information associated with the first object are acquired through the server, and the matching degree is determined based on the current area information and the target area information, wherein the current area information is used to indicate where the first object is located the area information of the current area of the It is prompted that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed at a position associated with the target area. That is to say, the present application locates the current area information of the first object through real-time interaction, and when the current area information and the target area information have a good degree of matching, the second object carried by the first object can be located In this way, through a good parking area, the detection of the second object can be made more stable and accurate, thereby achieving the technical effect of improving the efficiency of object detection, and solving the low-efficiency technology of object detection. question.

Example 5

Embodiments of the present application may provide a computer terminal, where the computer terminal may be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the above-mentioned computer terminal may also be replaced by a terminal device such as a mobile terminal.

Optionally, in this embodiment, the above-mentioned computer terminal may be located in at least one network device among multiple network devices of a computer network.

In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the resource configuration method of the application program: displaying the current area information and the target area information associated with the first object on the interactive interface, wherein the current area information is used for Indicates the area information of the current area where the first object is located, and the target area information is used to indicate the area information of the target area to which the first object needs to be docked; based on the current area information and the target area information, the matching degree displayed on the interactive interface is obtained , where the matching degree is used to indicate the matching degree between the current area and the target area; in response to the matching degree being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt when the first object When docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed at a position associated with the target area.

The processor can call the information and the application program stored in the memory through the transmission device to perform the following steps: display the current area information and target area information associated with the first object on the interactive interface, wherein the current area information is used to represent the first object. The area information of the current area where the object is located, and the target area information is used to indicate the area information of the target area to which the first object needs to be docked; based on the current area information and the target area information, the matching degree displayed on the interactive interface is obtained, wherein, The matching degree is used to indicate the matching degree between the current area and the target area; in response to the matching degree being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt when the first object is docked at the current When the target area is located, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed at a position associated with the target area.

Optionally, the above-mentioned processor may further execute the program code of the following steps: acquiring the matching degree from the server, wherein the matching degree is determined by the server based on the current area information and the target area information.

Optionally, the processor may further execute the program code of the following steps: in response to the matching degree not being greater than the target threshold, displaying second prompt information on the interactive interface, wherein the second prompt information is used to prompt adjustment of the current area information.

Optionally, the above-mentioned processor may further execute the program code of the following steps: acquiring the adjusted matching degree displayed on the interactive interface based on the target area information and the adjusted current area information.

Optionally, the above-mentioned processor can also execute the program code of the following steps: displaying the movement information of the first object on the interactive interface, wherein the movement information is used to represent the movement state of the first object, and is used to adjust the current state of the matching degree. Regional information.

Optionally, the above-mentioned processor may further execute the program code of the following steps: displaying the current area information and the target area information on the interactive interface, and prohibiting the display of information other than the current area information and the target area information.

As an optional example, the processor may call the information and the application program stored in the memory through the transmission device to perform the following steps: acquiring the current area information and the target area information associated with the first object, wherein the current area information uses is used to represent the area information of the current area where the first object is located, and the target area information is used to represent the area information of the target area to which the first object needs to be docked; the matching degree is determined based on the current area information and the target area information, wherein the matching degree is determined by is used to indicate the matching degree between the current area and the target area; in response to the matching degree being greater than the target threshold, first prompt information is sent to the client, wherein the first prompt information is used to prompt that when the first object is docked in the current area, allow The second object carried by the first object is detected by a detection device, and the detection device is deployed at a position associated with the target area.

Optionally, the above-mentioned processor may further execute the program code of the following steps: acquiring an original image of the first object collected by an image capturing device, wherein the image capturing device is deployed at a position associated with the target area; determining based on the original image Mask information of the first object, wherein the mask information is used to represent the current position of the first object; and the current area information is determined based on the mask information.

Optionally, the above-mentioned processor may also execute the program code of the following steps: in response to detecting the first object, output a control instruction to an image acquisition device, wherein the image acquisition device is deployed at a position associated with the target area; The target area information collected by the collecting device in response to the control command.

Optionally, the above-mentioned processor may further execute the program code of the following steps: delivering the current area information and the target area information to the client for display.

As an optional example, the processor may call the information stored in the memory and the application program through the transmission device, so as to perform the following steps: displaying the current area information and target area information associated with the vehicle on the interactive interface, wherein the current area The information is used to indicate the area information of the current area where the vehicle is located, and the target area information is used to indicate the area information of the target area where the vehicle needs to be parked; based on the current area information and the target area information, the matching degree displayed on the interactive interface is obtained, The matching degree is used to indicate the matching degree between the current area and the target area; in response to the matching degree being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt when the vehicle is parked at the current When it is in the area, the detection equipment is allowed to detect the industrial objects carried by the vehicle, and the detection equipment is deployed at the position associated with the target area.

Optionally, the above-mentioned processor may further execute the program code of the following steps: the target area information is not deployed in the scene where the vehicle is located.

Optionally, the above-mentioned processor may further execute the program code of the following steps: displaying the mask of the current region on the interactive interface, wherein the mask is obtained by converting the current region information based on deep learning.

The embodiment of the present invention provides an image processing method, which locates the current area information of the first object in a real-time interactive manner. The second object carried by the object is detected, so that through a good parking area, the detection of the second object can be made more stable and accurate, thereby achieving the technical effect of improving the efficiency of object detection, and solving the problem of object detection. The technical problem of inefficient detection.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can Including: flash disk, read-only memory (Read-Only Memory, ROM), random access device (RandomAccess Memory, RAM), magnetic disk or optical disk, etc.

Example 6

Embodiments of the present invention also provide a computer-readable storage medium. Optionally, in this embodiment, the above-mentioned computer-readable storage medium may be used to store the program code executed by the image processing method provided in the above-mentioned first embodiment.

Optionally, in this embodiment, the computer-readable storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

Optionally, in this embodiment, the above-mentioned computer-readable storage medium is configured to store program codes for executing the following steps: displaying current area information and target area information associated with the first object on the interactive interface, wherein, The current area information is used to indicate the area information of the current area where the first object is located, and the target area information is used to indicate the area information of the target area where the first object needs to be docked; The matching degree on the interface, where the matching degree is used to indicate the matching degree between the current area and the target area; in response to the matching degree being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used for It is prompted that when the first object is docked in the current area, the detection device is allowed to detect the second object carried by the first object, and the detection device is deployed at a position associated with the target area.

Optionally, the above computer-readable storage medium may further execute the program code of the following steps: obtaining a matching degree from the server, wherein the matching degree is determined by the server based on the current area information and the target area information.

Optionally, the above-mentioned computer-readable storage medium can also execute the program code of the following steps: in response to the matching degree not being greater than the target threshold, displaying second prompt information on the interactive interface, wherein the second prompt information is used to prompt adjustment of the current area information.

Optionally, the above-mentioned computer-readable storage medium may further execute the program code of the following steps: acquiring the adjusted matching degree displayed on the interactive interface based on the target area information and the adjusted current area information.

Optionally, the above-mentioned computer-readable storage medium can also execute the program code of the following steps: displaying the movement information of the first object on the interactive interface, wherein the movement information is used to represent the movement state of the first object, and is used for matching with to adjust the current area information.

Optionally, the above-mentioned computer-readable storage medium may further execute the program code of the steps of: displaying the current area information and the target area information on the interactive interface, and prohibiting the display of information other than the current area information and the target area information.

As an optional example, the computer-readable storage medium is configured to store program codes for performing the following steps: acquiring current area information and target area information associated with the first object, wherein the current area information is used to represent the first The area information of the current area where the object is located, and the target area information is used to indicate the area information of the target area where the first object needs to be docked; the matching degree is determined based on the current area information and the target area information, wherein the matching degree is used to indicate the current The matching degree between the area and the target area; in response to the matching degree being greater than the target threshold, first prompt information is sent to the client, wherein the first prompt information is used to prompt that when the first object is docked in the current area, the detection device is allowed to The second object carried by the first object is detected, and the detection device is deployed at a position associated with the target area.

Optionally, the above-mentioned computer-readable storage medium can also execute the program code of the following steps: acquiring an original image of the first object collected by an image capturing device, wherein the image capturing device is deployed at a position associated with the target area; The original image determines mask information of the first object, wherein the mask information is used to represent the current position of the first object; and the current area information is determined based on the mask information.

Optionally, the above-mentioned computer-readable storage medium may further execute the program code of the following steps: in response to detecting the first object, outputting a control instruction to an image capturing device, wherein the image capturing device is deployed at a position associated with the target area; Obtain the target area information collected by the image collection device in response to the control instruction.

Optionally, the above-mentioned computer-readable storage medium may further execute the program code of the following steps: delivering the current area information and the target area information to the client for display.

As an optional example, the computer-readable storage medium is configured to store program code for performing the steps of: displaying current area information and target area information associated with the vehicle on the interactive interface, wherein the current area information is used for Represents the area information of the current area where the vehicle is located, and the target area information is used to represent the area information of the target area where the vehicle needs to be parked; based on the current area information and the target area information, the matching degree displayed on the interactive interface is obtained. The degree is used to indicate the degree of matching between the current area and the target area; in response to the degree of matching being greater than the target threshold, first prompt information is displayed on the interactive interface, wherein the first prompt information is used to prompt that when the vehicle is parked in the current area, Allows the detection of industrial objects carried by the vehicle by the detection equipment, which is deployed at the position associated with the target area.

Optionally, the above-mentioned computer-readable storage medium may further execute the program code of the following steps: the target area information is not deployed in the scene where the vehicle is located.

Optionally, a mask of the current region is displayed on the interactive interface, wherein the mask is obtained by converting information of the current region based on deep learning.

The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages or disadvantages of the embodiments.

In the above-mentioned embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are only illustrative, for example, the division of units is only a logical function division. In actual implementation, there may be other division methods, for example, multiple units or components may be combined or integrated into Another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of units or modules, and may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes .

The above are only the preferred embodiments of the present invention. It should be pointed out that for those skilled in the art, without departing from the principles of the present invention, several improvements and modifications can be made. It should be regarded as the protection scope of the present invention.

Claims (15)

1. An image processing method, comprising:

displaying current area information and target area information which are related to a first object on an interactive interface, wherein the current area information is used for representing area information of a current area where the first object is located, and the target area information is used for representing area information of a target area where the first object needs to be docked;

acquiring a matching degree displayed on the interactive interface based on the current region information and the target region information, wherein the matching degree is used for representing the matching degree between the current region and the target region;

and in response to the matching degree being greater than a target threshold, displaying first prompt information on the interactive interface, wherein the first prompt information is used for prompting that when the first object is docked in the current area, detection of a second object carried by the first object is allowed by a detection device, and the detection device is deployed at a position associated with the target area.

2. The method of claim 1, wherein obtaining the matching degree displayed on the interactive interface based on the current region information and the target region information comprises:

and acquiring the matching degree from a server, wherein the matching degree is determined by the server based on the current area information and the target area information.

3. The method of claim 1, further comprising:

and responding to the matching degree not larger than the target threshold value, displaying second prompt information on the interactive interface, wherein the second prompt information is used for prompting to adjust the current area information.

4. The method of claim 3, wherein obtaining the matching degree displayed on the interactive interface based on the current region information and the target region information comprises:

and acquiring the adjusted matching degree displayed on the interactive interface based on the target area information and the adjusted current area information.

5. The method of claim 1, further comprising:

and displaying the movement information of the first object on the interactive interface, wherein the movement information is used for representing the movement state of the first object and adjusting the current area information according to the matching degree.

6. The method according to any one of claims 1 to 5, wherein displaying the current region information and the target region information associated with the first object on the interactive interface comprises:

and displaying the current area information and the target area information on the interactive interface, and prohibiting displaying information except the current area information and the target area information.

7. An image processing method, comprising:

acquiring current area information and target area information which are associated with a first object, wherein the current area information is used for representing area information of a current area where the first object is located, and the target area information is used for representing area information of a target area where the first object needs to be docked;

determining a matching degree based on the current region information and the target region information, wherein the matching degree is used for representing the matching degree between the current region and the target region;

and sending first prompt information to a client in response to the matching degree being greater than a target threshold, wherein the first prompt information is used for prompting that when the first object is docked in the current area, detection of a second object carried by the first object is allowed to be performed by a detection device, and the detection device is deployed at a position associated with the target area.

8. The method of claim 7, wherein obtaining current region information associated with the first object comprises:

acquiring an original image of the first object acquired by an image acquisition device, wherein the image acquisition device is deployed at a position associated with the target area;

determining mask information of the first object based on the original image, wherein the mask information is used for representing the current position of the first object;

determining the current region information based on the mask information.

9. The method of claim 7, wherein obtaining target area information associated with the first object to obtain the target area comprises:

in response to detecting the first object, outputting a control instruction to an image acquisition device, wherein the image acquisition device is deployed at a position associated with the target area;

and acquiring the target area information acquired by the image acquisition equipment in response to the control instruction.

10. The method of claim 7, further comprising:

and sending the current area information and the target area information to the client for display.

11. An image detection method of a vehicle, applied to a mobile terminal, includes:

displaying current area information and target area information which are related to a vehicle on an interactive interface, wherein the current area information is used for representing the area information of a current area where the vehicle is located, and the target area information is used for representing the area information of a target area where the vehicle needs to be parked;

acquiring a matching degree displayed on the interactive interface based on the current region information and the target region information, wherein the matching degree is used for representing the matching degree between the current region and the target region;

and responding to the matching degree larger than a target threshold value, displaying first prompt information on the interactive interface, wherein the first prompt information is used for prompting that when the vehicle stops in the current area, detection of industrial objects carried by the vehicle is allowed to be carried out by detection equipment, and the detection equipment is deployed on a position associated with the target area.

12. The method of claim 11, wherein the target area information is not deployed in a scene in which the vehicle is located.

13. The method of claim 11, further comprising:

and displaying a mask of the current area on the interactive interface, wherein the mask is obtained by converting the current area information based on deep learning.

14. An image processing system, comprising:

the server is used for acquiring current area information and target area information which are associated with a first object, and determining a matching degree based on the current area information and the target area information, wherein the current area information is used for representing the area information of a current area where the first object is located, and the target area information is used for representing the area information of a target area where the first object needs to be docked;

and the client is used for responding to the matching degree larger than a target threshold value and displaying first prompt information, wherein the first prompt information is used for prompting that when the first object stops in the current area, detection of a second object carried by the first object is allowed to be carried by detection equipment, and the detection equipment is deployed at a position associated with the target area.

15. A computer-readable storage medium, comprising a stored program, wherein the program, when executed by a processor, controls an apparatus in which the computer-readable storage medium is located to perform the method of any of claims 1-13.

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