CN111382697B - Image data processing method and first electronic equipment - Google Patents

Abstract

An embodiment of the present invention provides an image data processing method and a first electronic device. The image data processing method is applied to the first electronic device and includes: acquiring P pieces of data collection orientation information from the image equipment, and N candidate image data corresponding to the P pieces of data collection orientation information, the P pieces of data collection orientation information are associated with at least two second electronic devices, and both P and N are integers greater than 1; determining target image data from the N candidate image data, and the target image data is candidate image data with alarm content; sending the target image data to the target electronic device, the target image data The electronic device is the second electronic device associated with the data collection orientation information corresponding to the target image data among the at least two second electronic devices. The embodiments of the present invention can effectively reduce the demand for the quantity of imaging equipment in various application occasions, and save the purchase and installation costs of imaging equipment.

Description

Image data processing method and first electronic device

technical field

The present invention relates to the field of electronic technology, in particular to an image data processing method and a first electronic device.

Background technique

As an information collection device, the camera has been widely used in monitoring. Currently, the same camera is usually only used for one function, for example, only for traffic violation monitoring, or only for fire monitoring, etc. For different users with different monitoring needs in the same scene, it is often necessary to set up cameras separately to obtain monitoring information, resulting in a large number of cameras to be installed and high purchase and installation costs.

Contents of the invention

Embodiments of the present invention provide an image data processing method and a first electronic device to solve the problem in the prior art that different users with different monitoring needs in the same scene need to install cameras to obtain monitoring information, resulting in a large number of cameras to be installed and high purchase and installation costs.

In order to solve the problems of the technologies described above, the present invention is achieved in that:

An embodiment of the present invention provides an image data processing method applied to a first electronic device, including:

Acquire P pieces of data collection orientation information from the imaging device, and N pieces of candidate image data corresponding to the P pieces of data collection orientation information, the P pieces of data collection orientation information are associated with at least two second electronic devices, and both P and N are integers greater than 1;

determining target image data from the N candidate image data, where the target image data is candidate image data with warning content;

The target image data is sent to a target electronic device, and the target electronic device is a second electronic device among the at least two second electronic devices that is associated with the data collection orientation information corresponding to the target image data.

The embodiment of the present invention also provides a first electronic device, including:

The first acquiring module is configured to acquire P pieces of data collection orientation information from the image device, and N candidate image data corresponding to the P pieces of data collection orientation information, the P pieces of data collection orientation information are associated with at least two second electronic devices, and both P and N are integers greater than 1;

A determining module, configured to determine target image data from the N candidate image data, where the target image data is candidate image data with warning content;

A sending module, configured to send the target image data to a target electronic device, and the target electronic device is a second electronic device among the at least two second electronic devices that is associated with the data collection orientation information corresponding to the target image data.

An embodiment of the present invention also provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above image data processing method are realized.

In the embodiment of the present invention, by associating the orientation information collected by the imaging device and its corresponding candidate image data with at least two second electronic devices, if the candidate image data has alarm content, the candidate image data with alarm content, that is, the target image data, can be sent to the corresponding second electronic device based on the association relationship; the embodiment of the present invention can meet the needs of different users for the data collection orientation of different imaging devices by establishing the association relationship between the second electronic device and the data collection orientation information, and better realize the sharing of the image device with at least two second electronic devices, thereby effectively reducing the The demand for the quantity of imaging equipment in the application occasion saves the purchase and installation cost of imaging equipment.

Description of drawings

FIG. 1 is a flowchart of an image data processing method provided by an embodiment of the present invention;

Fig. 2 is a flow chart of the implementation of the image data processing method provided in the embodiment of the present invention in a specific application scenario;

FIG. 3 is a schematic structural diagram of a first electronic device provided by an embodiment of the present invention;

FIG. 4 is a structural diagram of an image data processing system applied to a first electronic device provided by an embodiment of the present invention.

Detailed ways

In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments. In the following description, specific details, such as specific configurations and components, are provided only to assist in a comprehensive understanding of the embodiments of the present invention. Accordingly, those of ordinary skill in the art should recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

As shown in Figure 1, the image data processing method provided by the embodiment of the present invention is applied to the first electronic device, including:

Step 101, acquiring P pieces of data collection orientation information from the imaging device, and N pieces of candidate image data corresponding to the P pieces of data collection orientation information, the P pieces of data collection orientation information are associated with at least two second electronic devices, and both P and N are integers greater than 1;

Step 102, determining target image data from the N candidate image data, where the target image data is candidate image data with warning content;

Step 103, sending the target image data to a target electronic device, where the target electronic device is the second electronic device associated with the data collection orientation information corresponding to the target image data among the at least two second electronic devices.

The image device may be a device capable of acquiring candidate image data, such as a camera. The second electronic device may correspond to devices such as a computer terminal (ie, a PC terminal) or a mobile terminal, capable of receiving data such as target image data sent by the first electronic device.

It can be understood that the at least two second electronic devices may correspond to different users. In practical applications, different users may have different monitoring and alarm requirements, and may also have different requirements for the working orientation of the camera. For example, in a certain application scenario, one side of the installation position of the camera is a river, and the other side is a road. User A may need to use the camera to monitor floating objects in the river, while user B may need to monitor road violations;

The imaging device can respectively collect one or more image data in each of the multiple data collection orientations. In an example, the image data collected by the imaging device is defined as raw image data, and a piece of raw image data may be a segment of video recorded or one or more photos taken while the imaging device stays at a certain fixed preset position (hereinafter referred to as the preset position). When the original image data is a video, the candidate image data may be one or more frames of photos in the video; when the original image data is one or more photos, the candidate image data may be all or part of the photos.

Of course, the original image data can also be obtained by recording or shooting while the imaging device is rotating within a certain angle range, and the corresponding data acquisition orientation information can correspond to the angle range of the imaging device rotation.

The alarm content can be set according to the needs of the user, for example, it can be, for example, river floating objects, fire conditions, personnel or vehicles, and the like. Based on the analysis and identification of the candidate image data, it can be determined whether the candidate image data has warning content. When the candidate image data has warning content, the candidate image data may be determined as the target image data. Since the target image data corresponds to data collection orientation information, and the data collection orientation information is associated with the second electronic device, based on the above association relationship, the second electronic device corresponding to the target image data, that is, the target electronic device, can be obtained, and the target image data can be sent to the target electronic device.

Similarly, taking the monitoring of rivers and roads by the camera at the first collection orientation and the second collection orientation respectively as an example, if it is identified through analysis that there are floating objects in the river in a certain candidate image data, the candidate image data can be sent as the target image data to the second electronic device corresponding to user A.

In the embodiment of the present invention, by associating the orientation information collected by the imaging device and its corresponding candidate image data with at least two second electronic devices, if the candidate image data has alarm content, the candidate image data with alarm content, that is, the target image data, can be sent to the corresponding second electronic device based on the association relationship; the embodiment of the present invention can meet the needs of different users for the data collection orientation of different imaging devices by establishing the association relationship between the second electronic device and the data collection orientation information, and better realize the sharing of the image device with at least two second electronic devices, thereby effectively reducing the The demand for the quantity of imaging equipment in the application occasion saves the purchase and installation cost of imaging equipment. In addition, in the embodiment of the present invention, the first electronic device sends the target image data with warning content to the target electronic device. Compared with directly sending all candidate image data to the corresponding second electronic device, the process of identifying the warning content by each second electronic device can be effectively omitted, thereby improving the image data processing efficiency.

In one example, in some applications, for example, the installation position of the camera is so appropriate that roads and rivers can be monitored simultaneously in the same data collection orientation. At this time, the data orientation information associated with different second electronic devices can correspond to the same data collection orientation of the camera. At this time, the imaging device can collect multiple image data in one data collection position, so as to meet the different monitoring needs of different users.

Optionally, the image data processing method further includes:

Respectively acquire the data collection time of each candidate image data in the N candidate image data;

The L candidate image data corresponding to each data acquisition orientation information in the P pieces of data collection orientation information and the data acquisition time of each candidate image data in the L candidate image data are respectively stored in the storage path corresponding to each of the data collection orientation information, where L is a positive integer less than or equal to N.

Taking the L candidate image data corresponding to a certain data collection orientation information as an example, since the imaging device needs to collect image data in different data collection orientations, it may switch between different preset positions during operation. Therefore, the above L candidate image data may not be continuous in terms of acquisition time. In this example, on the one hand, the L candidate image data is stored in a storage path corresponding to the data acquisition orientation information; on the other hand, the data acquisition time corresponding to the L candidate image data is also stored correspondingly, which is conducive to subsequent data comparison of the candidate image data in the same preset position according to the acquisition time.

Combined with a specific application scenario, the imaging device is used for monitoring illegal parking on the road (corresponding to the first preset position) and monitoring floating objects in the river (corresponding to the second preset position). If the condition for judging illegal parking on the road is that the same vehicle stays in the preset position area for more than 5 minutes. In the prior art, data analysis is usually only performed on the image data corresponding to a continuous period of time corresponding to the first preset position. In this way, it is necessary to set the imaging device to stay at the first preset position for more than 5 minutes each time to determine whether there is a road violation. In this example, the image data acquired by the imaging device at the first preset position is stored in the same set storage path. Assume that the imaging device switches between the two preset positions every 30 seconds. When analyzing whether there is a road violation, it can be judged whether there are more than 5 candidate image data with corresponding warning content in the storage path corresponding to the first preset position, or whether there are any two pieces of candidate image data with corresponding warning content whose data collection time interval exceeds 5 minutes. It can be seen that the image data processing method in this example can effectively solve the problem that the imaging equipment stays in a preset position for too long and affects real-time monitoring of other preset positions or key areas because it can only analyze the image data of a preset position for a period of continuous residence time.

In an example, the storage location of the candidate image data may further be determined in conjunction with the data collection time. For example, L candidate image data corresponding to a certain data collection orientation information can be stored in different storage paths according to the collection date, vehicle peak and low peak or weather, and the specific storage rules can be set according to actual needs.

Optionally, the data collection azimuth information may also include geographic location information where the imaging device is located, and corresponding collection direction information (such as pitch angle information) when the imaging device collects image data. In order to prepare for grasping the geographic locations corresponding to the acquired candidate image data when the above-mentioned imaging devices are respectively installed in a plurality of geographic locations.

Optionally, the step 102, determining the target image data from the N candidate image data includes:

Acquire M candidate image data corresponding to the first data collection orientation information from the N candidate image data, the first data collection orientation information is any data collection orientation information in the P data collection orientation information, and M is a positive integer less than or equal to N;

If the quantity of the first candidate image data is greater than a quantity threshold, the first candidate image data is determined as the target image data, and the first candidate image data is the candidate image data having the warning content among the M candidate image data.

In this embodiment, each piece of data collection orientation information may correspond to one or more candidate image data, and among the M candidate image data corresponding to a certain data collection orientation information, when the number of candidate image data with warning content exceeds a certain number threshold, this part of candidate image data with warning content may be used as target image data.

The aforementioned quantity threshold may be selected according to actual needs. For example, when monitoring floating objects in a certain section of the river, if there is a situation in which a candidate image data has warning content (that is, corresponding to floating objects in the river), the candidate image data can be used as the target image data. At this time, the quantity threshold can be a number less than 1. For another example, when monitoring road violations at a certain traffic intersection, for applications such as parking violations or red light violations, it may be necessary to use the candidate image data with warning content as the target image data only when the number of candidate image data with warning content is not less than 2.

In this embodiment, the number threshold can be determined according to actual needs, and when the number of candidate image data with warning content exceeds the number threshold among the M candidate image data corresponding to a certain data collection orientation information, the corresponding target image data can be determined, thereby meeting the monitoring requirements in various application scenarios.

Optionally, after acquiring M candidate image data corresponding to the first data collection orientation information from the N candidate image data, the method includes:

According to the first data acquisition orientation information, respectively determine the alarm area of each candidate image data in the M candidate image data, the alarm area is the pixel area used to determine whether there is an alarm content in each candidate image data;

Determining, among the M candidate image data, candidate image data that has warning content in the corresponding warning area as the first candidate image data.

In this embodiment, for each of the M candidate image data corresponding to the data collection orientation information, the corresponding warning area may be determined in advance. For example, if the imaging device is used to monitor floating objects in a river at a preset position, the warning area in the candidate image data corresponding to the preset position (that is, corresponding to a piece of data collection orientation information) may be the pixel area where the river is located; for another example, if the imaging device is used to monitor road violations at another preset position, then the warning area corresponding to the preset position may be the pixel area where the road is located.

By determining the corresponding alarm area in the candidate image data, when judging whether there is an alarm content in the candidate image data, only the alarm area needs to be analyzed and identified, which is beneficial to improve the identification efficiency of the alarm content.

Optionally, the step 103, sending the target image data to the target electronic device, includes:

Determine the alarm category to which the alarm content in the target image data belongs;

Determining a target electronic device from the at least two second electronic devices according to the data collection orientation information corresponding to the alarm category and the target image data, and the target electronic device and the alarm category satisfy a preset correspondence between the alarm category and the second electronic device;

sending the target image data to the target electronic device.

As mentioned above, based on the analysis and identification of the candidate image data, it can be judged whether the candidate image data has alarm content; and by clustering the alarm content, that is, distinguishing and classifying the alarm content according to certain requirements and rules, the alarm category to which different alarm content belongs can be obtained. The above clustering process can be realized by machine learning, for example, based on sample images in the sample image database, image features are extracted and categories are generated through learning based on the study of image features.

There is a preset corresponding relationship between the warning category and the second electronic device. For example, for a user who needs to monitor road violations (which may correspond to a second electronic device), the corresponding warning category may be a road violation warning; in practical applications, through the analysis and identification of candidate image data, there may be warning content about vehicle violations, and there may also be warning content about pedestrian violations; the two kinds of warning contents can be classified into the road violation warning category. When the target image data exists, on the one hand, one or more second electronic devices that may need to receive the target image data can be preliminarily determined according to the corresponding relationship between the data collection orientation information and the second electronic device;

In an example, after the target image data is determined, an alarm may be given for the target image data, for example, at least one of the target image data, data collection orientation information, and alarm category may be displayed, and an audible and visual alarm may also be triggered. When sending the target image data to the target electronic device, the aforementioned data collection orientation information and other content may also be sent to the target electronic device at the same time.

Referring to Fig. 2, the implementation process of the image data processing method provided by the embodiment of the present invention in a specific application scenario is described below:

Step 201, setting the alternate working mode of camera acquisition azimuth;

Set up the camera, and set the existing camera in the area cruise mode to cycle alternately in the area cruise and preset cruise modes. The specific cycle method can be personalized for time control.

Regional cruising can refer to the spiral rotation shooting of the camera. For example, the camera can monitor the fire situation in its surrounding area through spiral rotation shooting. At this time, the image data obtained by the camera does not have specific orientation information, and the candidate image data obtained by frame extraction is usually relatively blurred.

Step 202, software development kit (Software Development Kit, SDK) interface docking;

The video stream can be decoded by separately calling the Hikvision playback library PlayCtrl.dll, and the image data returned by the camera and the data collection orientation information (corresponding to the preset position, including the data collection angle information and the camera positioning information) can be collected and processed.

The preset position can be associated with the user, and each video data will be associated with its respective preset position, which can lay the foundation for the subsequent sharing of video data in terms of rights and domains (it can be understood as which content of a video data is sent to which users).

Step 203, store the image data of each preset position in different paths, and save the data;

The image data of the same preset location needs to be stored in different paths through the SDK interface information; if different time periods are involved in the rule requirements, the paths need to be processed in more detail. The camera (or image and/or video sensor information collection module) can use Message Queuing Telemetry Transport (MQTT) or Real Time Streaming Protocol (RTSP) to implement real-time data stream transmission between the camera and the first electronic device for running the image data processing method through MQTT or RTSP.

In this way, it is convenient to compare the image data of the time stamps in the same preset position; it solves the problem that the current camera manufacturers can only analyze the data within the dwell time of the preset position, resulting in a preset position staying for too long and adversely affecting the real-time supervision of other preset positions or key areas.

Step 204, artificial intelligence (AI) recognition of image data;

The image data AI can be used to identify the alarm content in the image data. The scene analysis technology in intelligent monitoring refers to extracting the characteristic information of the scene, analyzing and classifying the scene according to the characteristic information of the scene, classifying the same kind of objects with the same nature into one category, identifying which objects are included in the scene, and then obtaining the recognition result. Give full play to the initiative of machine vision, so that the machine can automatically analyze and extract the feature information in the image data without unmanned monitoring, so as to achieve the purpose of identifying the alarm content.

Through AI recognition, it is possible to firstly extract feature information from image data, and then, according to the preset alarm threshold, it can identify the alarm content such as "fire", "personnel", "vehicle" or "floating objects in the river" in the image data that users may be concerned about.

Step 205, the recognition results are classified by industry or scene;

Clustering the recognition results, that is, the process of distinguishing and classifying things according to certain requirements and rules, can be in the image database in advance, on the basis of studying the characteristic information of a large number of sample images, and then generate categories through learning, and then classify the recognition results according to this category. Its advantage is that it can dynamically classify alarm content, and can effectively reduce the dimension of image data processing and the query scope of target users, and improve the efficiency of data processing.

In practical applications, this step can be used as the key to a multi-purpose technology (that is, one camera can be used for different purposes by multiple users), and the recognition results can be classified according to the alarm content of the image data corresponding to each preset position identified by AI, and different users (such as different industries, different departments or different authority personnel).

Step 206, push the alarm information to the corresponding user;

The alarm information is generated according to the category of the recognition result, and is pushed to different second electronic devices in a manner of dividing rights and domains. The alarm information can be transmitted to the first electronic device through the Kafka message bus, and the first electronic device can set an alarm area in the image data of each preset position according to the coverage of the image data of each preset position. Through the data collection orientation information fed back by the camera, combined with the secondary illegal interpretation (it can be considered that the same alarm content is in two image data with different acquisition times at the same time, such as the road violation monitoring scene at the traffic intersection mentioned above), the second electronic device can accurately locate the alarm area, and display illegal picture information, geographic coordinate information, and illegal categories on the main control interface, and trigger sound and light alarms at the same time, and you can view the details of the alarm message.

The first electronic device can send the corresponding image data to the matching second electronic device through the alarm push, so as to realize the multi-layer intelligent analysis function of the multi-purpose image data and the sharing of image data, and reduce the purchase, installation and maintenance costs of the camera and other image devices for users.

As shown in Figure 3, the embodiment of the present invention also provides a first electronic device, including:

The first acquiring module 301 is configured to acquire P pieces of data collection orientation information from the image device, and N pieces of candidate image data corresponding to the P pieces of data collection orientation information, the P pieces of data collection orientation information are associated with at least two second electronic devices, and both P and N are integers greater than 1;

A determination module 302, configured to determine target image data from the N candidate image data, where the target image data is candidate image data with warning content;

The sending module 303 is configured to send the target image data to a target electronic device, and the target electronic device is the second electronic device associated with the data collection orientation information corresponding to the target image data among the at least two second electronic devices.

Optionally, the determining module 302 includes:

An acquiring unit, configured to acquire M pieces of candidate image data corresponding to the first data collection orientation information from the N pieces of candidate image data, the first data collection orientation information being any data collection orientation information among the P pieces of data collection orientation information, and M is a positive integer less than or equal to N;

A first determining unit, configured to determine the first candidate image data as the target image data when the quantity of the first candidate image data is greater than a quantity threshold, and the first candidate image data is the candidate image data having the warning content among the M candidate image data.

Optionally, the determining module 302 also includes:

The second determination unit is configured to respectively determine the warning area of each candidate image data in the M candidate image data according to the first data collection orientation information, and the warning area is a pixel area used for judging whether there is an alarm content in each candidate image data;

A third determining unit, configured to determine, among the M candidate image data, candidate image data that has warning content in the corresponding warning area as the first candidate image data.

Optionally, the sending module 303 includes:

A fourth determining unit, configured to determine the alarm category to which the alarm content in the target image data belongs;

The fifth determination unit is configured to determine a target electronic device from the at least two second electronic devices according to the data collection orientation information corresponding to the alarm category and the target image data, and the target electronic device and the alarm category satisfy a preset correspondence between the alarm category and the second electronic device;

A sending unit, configured to send the target image data to the target electronic device.

Optionally, the first electronic device further includes:

A second acquiring module, configured to respectively acquire the data acquisition time of each candidate image data in the N candidate image data;

A storage module, configured to respectively store L candidate image data corresponding to each data acquisition orientation information in the P pieces of data acquisition orientation information and the data acquisition time of each candidate image data in the L candidate image data in a storage path corresponding to each of the data acquisition orientation information, where L is a positive integer less than or equal to N.

It should be noted that the first electronic device is an electronic device corresponding to the above-mentioned image data processing method applied to the first electronic device, and all the implementation methods in the above method embodiments are applicable to the embodiments of the first electronic device, and can also achieve the same technical effect.

Referring to FIG. 4 , FIG. 4 shows an architecture diagram of an image data processing system applied to a first electronic device provided by an embodiment of the present invention in a specific application implementation manner. The first electronic device is mainly used for business services and data processing.

By recombining the virtual modules of the first electronic device in the previous embodiment, the first electronic device mainly includes a service communication module, a big data module, an artificial intelligence module and a service management module. The service communication module can realize data transmission with the camera through at least one transmission protocol among MQTT, RTSP and representational state transfer (Representational State Transfer, REST). The big data module includes a data acquisition unit, a data cleaning unit, and a data analysis unit. Each unit is equipped with a communication interface that supports Application Programming Interface (API) services. The data acquisition unit can be used to obtain data from the camera, such as image data, data acquisition orientation information, and data acquisition time. The data cleaning unit can clear redundant image data or poor-quality image data. The artificial intelligence module includes a behavior recognition unit, an object recognition unit, and a target detection unit. Each unit is equipped with a corresponding communication interface. The behavior recognition module can recognize the behavior of objects in the image data, such as identifying the behavior of people in the image data at different data collection times, and judging whether they are in a static, wandering, or other state. The object recognition unit can be used to identify objects in the image data, such as people, vehicles, floating objects, or smoke. The service management module includes a configuration management unit, a monitoring and alarm unit, a log management unit, and a basic maintenance unit. The functions that each unit can achieve match its name, and will not be described here. In addition, the first electronic device further includes a storage module, and the storage module may be at least one of a cache, a file storage device, and a database.

The image data processing system also includes a middleware module and an access terminal equipped with a business system. The middleware module can be used for image data sharing, including message middleware and cache middleware. The access terminal can be a PC or a mobile device (that is, a mobile terminal), and the business system can correspond to various industry smart monitoring platforms, WeChat programs, and other applications that can be used to receive image data.

In the above image data processing system, the first electronic device can obtain raw data from the image device through the data acquisition unit, and the original data can include original image data, data collection orientation information, and data collection time. Wherein, the data collection orientation information may correspond to multiple data collection orientations (that is, the aforementioned preset positions), and the preset positions may be determined according to the monitoring requirements of different users.

The original image data includes redundant image data. For example, the image equipment takes three pictures continuously in one data collection position, and finally only needs to use one of them as the candidate image data, then the data cleaning unit can clean two of the pictures, and the data analysis unit can analyze and identify the remaining picture to determine whether there is any warning content, such as river floating objects, vehicles, people or fire. The artificial intelligence module can further analyze the alarm content, use the candidate image data that meets the set conditions as the target image data, and determine the category corresponding to the alarm content, and the second electronic device corresponding to the category (ie, the target electronic device), and send the target image data to the target electronic device;

The first electronic device can share relevant image data to multiple second electronic devices, so a middleware module is used for data sharing, and the second electronic device can be a PC or a mobile terminal, and can receive the data shared by the first electronic device through the business system.

The image data processing system can receive the original data from the image device through the first electronic device, analyze, identify and classify the original image data through the first electronic device, and send the obtained target image data with alarm content to the second electronic device that matches the category of the alarm content; furthermore, it can effectively realize the sharing of image data, reduce the number of image devices required in the same application scene, and save purchase and installation costs; at the same time, the original image data is uniformly processed by the first electronic device, and each second electronic device can directly obtain target image data with alarm content, which improves data processing. efficiency.

An embodiment of the present invention also provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above image data processing method are realized.

What has been described above is a preferred embodiment of the present invention. It should be pointed out that those skilled in the art can make some improvements and modifications without departing from the principles described in the present invention. These improvements and modifications are also within the protection scope of the present invention.

Claims (11)

1. An image data processing method, characterized in that it is applied to the first electronic device, comprising: Acquire P pieces of data collection orientation information from the imaging device, and N pieces of candidate image data corresponding to the P pieces of data collection orientation information, the P pieces of data collection orientation information are associated with at least two second electronic devices, and both P and N are integers greater than 1; Determine target image data from the N candidate image data, where the target image data is candidate image data with warning content; wherein, the target image data corresponds to data collection orientation information, and the data collection orientation information is associated with a second electronic device, and the second electronic device corresponding to the target image data is obtained based on the association between the data collection orientation information and the second electronic device; The target image data is sent to a target electronic device, and the target electronic device is a second electronic device among the at least two second electronic devices that is associated with the data collection orientation information corresponding to the target image data. 2. The method according to claim 1, wherein said determining target image data from said N candidate image data comprises: Acquire M candidate image data corresponding to the first data collection orientation information from the N candidate image data, the first data collection orientation information is any data collection orientation information in the P data collection orientation information, and M is a positive integer less than or equal to N; If the quantity of the first candidate image data is greater than a quantity threshold, the first candidate image data is determined as the target image data, and the first candidate image data is the candidate image data having the warning content among the M candidate image data. 3. The method according to claim 2, characterized in that, after acquiring the M candidate image data corresponding to the first data collection orientation information from the N candidate image data, the method comprises: According to the first data acquisition orientation information, respectively determine the alarm area of each candidate image data in the M candidate image data, the alarm area is the pixel area used to determine whether there is an alarm content in each candidate image data; Determining, among the M candidate image data, candidate image data that has warning content in the corresponding warning area as the first candidate image data. 4. The method according to claim 1, wherein the sending the target image data to the target electronic device comprises: Determine the alarm category to which the alarm content in the target image data belongs; Determining a target electronic device from the at least two second electronic devices according to the data collection orientation information corresponding to the alarm category and the target image data, where the target electronic device and the alarm category satisfy a preset correspondence between the alarm category and the second electronic device; sending the target image data to the target electronic device. 5. The method according to claim 1, wherein the method further comprises: Respectively acquire the data collection time of each candidate image data in the N candidate image data; The L candidate image data corresponding to each data acquisition orientation information in the P pieces of data collection orientation information and the data acquisition time of each candidate image data in the L candidate image data are respectively stored in the storage path corresponding to each of the data collection orientation information, where L is a positive integer less than or equal to N. 6. A first electronic device, characterized in that it comprises: The first acquiring module is configured to acquire P pieces of data collection orientation information from the image device, and N candidate image data corresponding to the P pieces of data collection orientation information, the P pieces of data collection orientation information are associated with at least two second electronic devices, and both P and N are integers greater than 1; A determining module, configured to determine target image data from the N candidate image data, where the target image data is candidate image data with warning content; wherein, the target image data corresponds to data collection orientation information, and the data collection orientation information is associated with a second electronic device, and the second electronic device corresponding to the target image data is obtained based on the association between the data collection orientation information and the second electronic device; A sending module, configured to send the target image data to a target electronic device, and the target electronic device is a second electronic device among the at least two second electronic devices that is associated with the data collection orientation information corresponding to the target image data. 7. The first electronic device according to claim 6, wherein the determining module comprises: An acquiring unit, configured to acquire M pieces of candidate image data corresponding to the first data collection orientation information from the N pieces of candidate image data, the first data collection orientation information being any data collection orientation information among the P pieces of data collection orientation information, and M is a positive integer less than or equal to N; A first determining unit, configured to determine the first candidate image data as the target image data when the quantity of the first candidate image data is greater than a quantity threshold, and the first candidate image data is the candidate image data having the warning content among the M candidate image data. 8. The first electronic device according to claim 7, wherein the determining module further comprises: The second determining unit is configured to respectively determine the warning area of each candidate image data in the M candidate image data according to the first data collection orientation information, and the warning area is a pixel area used for judging whether there is an alarm content in each candidate image data; A third determining unit, configured to determine, among the M candidate image data, candidate image data that has warning content in the corresponding warning area as the first candidate image data. 9. The first electronic device according to claim 6, wherein the sending module comprises: A fourth determination unit, configured to determine the alarm category to which the alarm content in the target image data belongs; The fifth determination unit is configured to determine a target electronic device from the at least two second electronic devices according to the data collection orientation information corresponding to the alarm category and the target image data, and the target electronic device and the alarm category satisfy a preset correspondence between the alarm category and the second electronic device; A sending unit, configured to send the target image data to the target electronic device. 10. The first electronic device according to claim 6, further comprising: A second acquiring module, configured to respectively acquire the data acquisition time of each candidate image data in the N candidate image data; A storage module, configured to respectively store L candidate image data corresponding to each data acquisition orientation information in the P pieces of data acquisition orientation information and the data acquisition time of each candidate image data in the L candidate image data in a storage path corresponding to each data acquisition orientation information, where L is a positive integer less than or equal to N. 11. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the image data processing method according to any one of claims 1 to 5 are realized.