CN114613062B - Anti-counterfeiting detection method and device and computer-readable storage medium - Google Patents
Anti-counterfeiting detection method and device and computer-readable storage medium Download PDFInfo
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- CN114613062B CN114613062B CN202011394803.1A CN202011394803A CN114613062B CN 114613062 B CN114613062 B CN 114613062B CN 202011394803 A CN202011394803 A CN 202011394803A CN 114613062 B CN114613062 B CN 114613062B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
- G07D7/12—Visible light, infrared or ultraviolet radiation
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
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Abstract
The application provides an anti-counterfeiting detection method, an anti-counterfeiting detection device and a computer readable storage medium, wherein the anti-counterfeiting detection method comprises the following steps: controlling an anti-counterfeiting light emission component of the intelligent wearing equipment to emit anti-counterfeiting light with target wavelength to an object to be detected; an image acquisition component of the intelligent wearing equipment is controlled to acquire an anti-fake detection image corresponding to an object to be detected; comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data; and outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result. By implementing the scheme of the application, the optical anti-counterfeiting detection assembly is configured on the intelligent wearable device, and the characteristic comparison is carried out on the optical detection image of the object to be detected, so that the anti-counterfeiting detection is realized, the convenience of the anti-counterfeiting detection can be effectively improved, and the accuracy of the anti-counterfeiting detection result is ensured.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to an anti-counterfeit detection method, an anti-counterfeit detection device, and a computer readable storage medium.
Background
In social and economic activities, users usually need to use banknotes such as banknotes, invoices, bank notes, checks, etc., and with the improvement of counterfeiting technology, users can suffer great economic loss if receiving counterfeit banknotes, so that the anti-counterfeiting detection of the banknotes is particularly important. At present, users usually rely on special anti-counterfeiting detection devices such as banknote detectors and the like to perform anti-counterfeiting detection on tickets, but most users cannot carry with them because the portability of the anti-counterfeiting detection devices on the market is generally poor, so that in the aspect of anti-counterfeiting detection of tickets, manual identification (such as naked eyes, handfeel and the like) modes are still more adopted, and the anti-counterfeiting detection accuracy cannot be effectively ensured.
Disclosure of Invention
The embodiment of the application provides an anti-counterfeiting detection method, an anti-counterfeiting detection device and a computer readable storage medium, which at least can solve the problem that the convenience and the accuracy of ticket anti-counterfeiting detection cannot be considered in the related technology.
An embodiment of the present application provides an anti-counterfeiting detection method, which is applied to an intelligent wearable device including an anti-counterfeiting light emission component and an image acquisition component, and includes:
Controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to an object to be detected;
controlling the image acquisition component to acquire an anti-counterfeiting detection image corresponding to the object to be detected;
Comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data;
and outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result.
A second aspect of the present application provides an anti-counterfeit detection device, applied to an intelligent wearable device including an anti-counterfeit light emission component and an image acquisition component, including:
the emission module is used for controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to the object to be detected;
the acquisition module is used for controlling the image acquisition component to acquire an anti-counterfeiting detection image corresponding to the object to be detected;
The comparison module is used for comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data;
and the output module is used for outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result.
A third aspect of an embodiment of the present application provides an electronic device, including: the anti-counterfeiting detection method comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the steps in the anti-counterfeiting detection method provided by the first aspect of the embodiment of the application when executing the computer program.
A fourth aspect of the embodiment of the present application provides a computer readable storage medium, on which a computer program is stored, where the steps of the anti-counterfeiting detection method according to the first aspect of the embodiment of the present application are implemented when the computer program is executed by a processor.
From the above, according to the anti-counterfeiting detection method, the anti-counterfeiting detection device and the computer readable storage medium provided by the scheme of the application, firstly, the anti-counterfeiting light emission component of the intelligent wearing equipment is controlled to emit anti-counterfeiting light with target wavelength to an object to be detected; then, an image acquisition component of the intelligent wearable device is controlled to acquire an anti-fake detection image corresponding to the object to be detected; further, comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data; and finally, outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result. By implementing the scheme of the application, the optical anti-counterfeiting detection assembly is configured on the intelligent wearable device, and the characteristic comparison is carried out on the optical detection image of the object to be detected, so that the anti-counterfeiting detection is realized, the convenience of the anti-counterfeiting detection can be effectively improved, and the accuracy of the anti-counterfeiting detection result is ensured.
Drawings
Fig. 1 is a schematic diagram of a main body of a smart wearable device according to a first embodiment of the present application;
FIG. 2 is a schematic diagram of a basic flow of an anti-counterfeit detection method according to a first embodiment of the present application;
FIG. 3 is a flow chart of a control method of an anti-counterfeit light emission assembly according to a first embodiment of the present application;
fig. 4 is a flow chart of a method for generating an anti-counterfeit detection command according to a first embodiment of the present application;
FIG. 5 is a detailed flow chart of an anti-counterfeiting detection method according to a second embodiment of the present application;
FIG. 6 is a schematic program diagram of an anti-counterfeit detection device according to a third embodiment of the present application;
Fig. 7 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present application more comprehensible, the technical solutions in the embodiments of the present application will be clearly described in conjunction with the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In order to solve the defect that the convenience and accuracy of ticket anti-counterfeiting detection cannot be considered in the related art, the first embodiment of the application provides an anti-counterfeiting detection method, which is applied to intelligent wearable equipment comprising an anti-counterfeiting light emission component and an image acquisition component, wherein the intelligent wearable equipment can comprise an intelligent watch, an intelligent glasses, an intelligent waistband and the like, as shown in fig. 1, the image acquisition component A is a main part schematic diagram of the intelligent wearable equipment provided by the embodiment, the image acquisition component comprises a camera, the anti-counterfeiting light emission component B is an anti-counterfeiting light emission component, and the anti-counterfeiting light emission component comprises components meeting anti-counterfeiting detection requirements such as an infrared light emitting diode and an ultraviolet light emitting diode.
Fig. 2 is a basic flowchart of an anti-counterfeiting detection method according to the present embodiment, where the anti-counterfeiting detection method includes the following steps:
step 201, controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to an object to be detected.
Specifically, the object to be detected in this embodiment may be a banknote, an invoice, a bank note, a check, or other ticket, and since the ticket is generally made of special paper, the paper hardness, density, and thickness of printing ink are relatively high, so that in practical application, the absorption capability of the counterfeit-proof light of the true or false ticket to be detected is different.
It should be understood that, the anti-counterfeit light emission component of this embodiment may be an infrared light emission component, an ultraviolet light emission component, or a component that emits invisible light, and in this embodiment, the infrared light emission component preferably includes a plurality of infrared diodes.
It should be noted that in practical application, if the anti-counterfeiting light emitting component is kept normally open, larger power consumption may be caused, so that the load switch can be set for the anti-counterfeiting light emitting component, and when a user has an anti-counterfeiting detection requirement, the load switch is triggered to enter an on state so as to control the anti-counterfeiting light source component to enter a working state. Of course, in another implementation manner, a plurality of systems can be further set for the intelligent wearable device, wherein one system A is a conventional use system, the other system B is an anti-fake detection use system, and when a user has an anti-fake detection requirement, the intelligent wearable device can be controlled to be switched to the system B.
Step 202, controlling an image acquisition component to acquire an anti-counterfeiting detection image corresponding to an object to be detected.
Specifically, according to the principle that the penetration capability of the materials of different objects to be detected to the anti-counterfeiting light is different, the camera provided with the special optical filter is used for shooting the image of the object to be detected irradiated by the anti-counterfeiting light.
In addition, it should be noted that in practical application, a plurality of image acquisition components may be configured on the smart wearable device, where the image acquisition component a is not configured with a filter for regular use by a user, and the image acquisition component B is configured with a filter for use by a user in anti-counterfeiting detection. The embodiment can identify the current image acquisition scene and call the corresponding image acquisition assembly according to the identified image acquisition scene.
And 203, comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data.
Specifically, in this embodiment, the absorption capacity of the counterfeit detection ticket for the counterfeit light is different, so that the feature performance of the finally collected counterfeit detection image is also different, and it should be understood that the standard image feature data in this embodiment corresponds to the image feature data of the real counterfeit detection object. In the embodiment, after the anti-counterfeiting detection image is acquired, correlation degree comparison is performed between the image features and the real image features to determine whether the object to be detected is real or not.
And 204, outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result.
Specifically, in this embodiment, a correlation threshold may be preset, and then the correlation obtained by the comparison is compared with the correlation threshold, and when the correlation threshold is greater than or equal to the correlation threshold, it is determined that the anti-counterfeit detection result of the object to be detected is true, otherwise, the anti-counterfeit detection result is counterfeit. It should be appreciated that, this embodiment integrates anti-fake detection function on intelligent wearing equipment, because intelligent wearing equipment convenient to carry to can promote anti-fake detection's convenience, in addition, combine image recognition and characteristic comparison's method to carry out anti-fake detection, can effectively promote anti-fake detection's accuracy.
As shown in fig. 3, a flow chart of a control method of an anti-counterfeit light emission assembly provided in this embodiment is shown, and in some embodiments, the flow chart of controlling the anti-counterfeit light emission assembly to emit anti-counterfeit light with a target wavelength to an object to be detected specifically includes the following steps:
step 301, when an anti-counterfeiting detection instruction is received, acquiring a target wavelength corresponding to an anti-counterfeiting detection scene;
Step 302, selecting a target anti-counterfeiting light emission component corresponding to the target wavelength from a plurality of anti-counterfeiting light emission components;
step 303, the target anti-counterfeiting light emission component is controlled to emit anti-counterfeiting light with target wavelength to the object to be detected.
Specifically, in practical application, the anti-counterfeiting light emission component such as the infrared light emission component configured on the intelligent wearable device is not only used for anti-counterfeiting, but also used for other uses (such as ranging use), and the required light wavelength is different under different use scenes; or the required light wavelength can be different for different objects to be detected in different anti-counterfeiting detection scenes. Based on this, the intelligent wearable device of this embodiment may be configured with a plurality of anti-fake light emission components with different emitted light wavelengths, then determine that the intelligent wearable device is currently in an anti-fake detection scene according to an anti-fake detection instruction, adaptively select a corresponding anti-fake light emission component from the plurality of anti-fake light emission components according to the light wavelength required by the current anti-fake detection scene, and then trigger the selected anti-fake light emission component to enter a working state.
Of course, in other embodiments, only a single anti-counterfeiting light emission component can be configured on the intelligent wearable device, and the anti-counterfeiting light emission component supports to emit light rays with different wavelengths, so that the wavelength of the light rays to be emitted can be determined according to the requirement of the current application scene, and the anti-counterfeiting light emission component is correspondingly controlled accordingly.
Fig. 4 is a schematic flow chart of a method for generating an anti-counterfeit detection command according to the present embodiment, and further, in some embodiments, before the step of obtaining the target wavelength corresponding to the anti-counterfeit detection scene, the method specifically includes the following steps:
Step 401, controlling an image acquisition component to acquire an environment image in real time;
Step 402, identifying a target object in the environment image, and obtaining an object attribute corresponding to the target object;
Step 403, when the target object is determined to be the anti-counterfeiting detection object according to the object attribute, generating an anti-counterfeiting detection instruction.
Specifically, in practical application, the user can manually input the anti-counterfeiting detection instruction when having anti-counterfeiting detection requirements, and in order to ensure the convenience of user operation, the embodiment can acquire environmental images in real time through the image acquisition component, then identify whether an anti-counterfeiting detection object appears currently, normally, when the user has anti-counterfeiting detection requirements, the anti-counterfeiting detection object is close to the image acquisition component, and if the anti-counterfeiting detection object is identified, the current user has anti-counterfeiting detection requirements, and the anti-counterfeiting detection instruction is automatically generated, so that the user does not need to manually trigger anti-counterfeiting detection options on the intelligent wearable device, and only needs to directly approach the object to be detected to the image acquisition component to automatically trigger anti-counterfeiting detection, thereby simplifying user operation.
In some implementations of this embodiment, the step of controlling the anti-counterfeiting light emitting component to emit the anti-counterfeiting light with the target wavelength to the object to be detected specifically includes: and controlling a plurality of anti-counterfeiting light emission assemblies with different light source types to emit anti-counterfeiting light with target wavelengths to the object to be detected respectively. Correspondingly, the step of controlling the image acquisition component to acquire the anti-counterfeiting detection image corresponding to the object to be detected specifically comprises the following steps: respectively selecting an image acquisition assembly configured with corresponding optical filters according to a plurality of light source types; and controlling the selected image acquisition components to acquire anti-counterfeiting detection images corresponding to the objects to be detected respectively.
Specifically, in this embodiment, considering that the accuracy of a single anti-counterfeit detection mode is limited, the present embodiment may use a composite anti-counterfeit detection mode, that is, combine different anti-counterfeit light rays (for example, a combination of infrared light and ultraviolet light) to implement anti-counterfeit detection. In practical application, a plurality of anti-counterfeiting light emitting assemblies with different light source types can be configured to emit anti-counterfeiting light to an object to be detected at the same time, then corresponding anti-counterfeiting detection images are respectively collected through image collecting assemblies with different optical filters, then feature comparison is respectively carried out on the plurality of anti-counterfeiting detection images, and if the feature comparison of the plurality of anti-counterfeiting detection images is passed, the obtained real detection result of the object to be detected is more reliable.
In some implementations of this embodiment, before the step of comparing the actual image feature data of the anti-counterfeit detection image with the standard image feature data, the method further includes: acquiring a corresponding target object type of an object to be detected; and determining the image characteristic data corresponding to the target object type as standard image characteristic data according to the preset mapping relation between the object type and the image characteristic data.
Specifically, in this embodiment, in order to ensure diversity of anti-counterfeit detection, the intelligent wearable device of this embodiment may support anti-counterfeit detection of multiple types of different objects to be detected, for example, may support detection of banknotes, invoices, and the like with different denominations/nations at the same time. In this embodiment, corresponding standard image feature data is configured in advance for different types of anti-counterfeit detection objects, and then the corresponding standard image feature data can be selected for comparison according to the object type input by a user through the object type selection option or the object type acquired through image recognition.
In some implementations of this embodiment, before the step of comparing the actual image feature data of the anti-counterfeit detection image with the standard image feature data, the method further specifically includes: acquiring a detection accuracy level required by an object to be detected; from a plurality of available standard image feature data, standard image feature data corresponding to a detection accuracy level is determined.
Specifically, in this embodiment, considering that the requirements of users on the anti-counterfeit detection accuracy under different anti-counterfeit detection scenes are different, the detection accuracy level of this embodiment may be divided into high, medium and low, where the feature richness of the standard image feature data corresponding to the different detection accuracy levels is different, the higher the detection accuracy level is, the more features contained in the standard image feature data are abundant, and this embodiment determines the corresponding standard image feature data according to the actual requirements of users on the detection accuracy, so as to realize the trade-off between the anti-counterfeit detection accuracy and the anti-counterfeit detection efficiency.
In some implementations of this embodiment, before the step of comparing the actual image feature data of the anti-counterfeit detection image with the standard image feature data, the method further includes: identifying an image quality evaluation index of the anti-counterfeiting detection image; and comparing the image quality evaluation index with a standard image quality evaluation index meeting the anti-counterfeiting detection requirement. Correspondingly, when the image quality evaluation index meets the anti-counterfeiting detection requirement, executing the step of comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data; and when the image quality evaluation index does not meet the anti-counterfeiting detection requirement, returning to execute the step of controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to the object to be detected.
Specifically, in practical application, the collected anti-counterfeit detection image may not meet the anti-counterfeit detection requirement due to the influence of the ambient light factor or the influence of the position factor of the user placing the object to be detected, so that the embodiment evaluates the image quality of the currently collected anti-counterfeit detection image before comparing the features of the anti-counterfeit detection image, if the image quality meets the anti-counterfeit detection requirement, the image quality is used for comparing the features, otherwise, the step 201 is executed again to collect the anti-counterfeit detection image again. Of course, in this embodiment, the intelligent wearable device may further be controlled to output an operation instruction, so as to indicate the placement position of the object to be detected to the user, so that the object to be detected is accurately aligned with the anti-counterfeit light emission component and the image acquisition component.
It should be understood that, in this embodiment, when outputting the anti-counterfeit detection result, the anti-counterfeit detection result may be output in a voice manner or a display manner, which is not limited in this embodiment.
Based on the technical scheme of the embodiment of the application, firstly, an anti-counterfeiting light emission component of the intelligent wearing equipment is controlled to emit anti-counterfeiting light with target wavelength to an object to be detected; then, an image acquisition component of the intelligent wearable device is controlled to acquire an anti-fake detection image corresponding to the object to be detected; further, comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data; and finally, outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result. By implementing the scheme of the application, the optical anti-counterfeiting detection assembly is configured on the intelligent wearable device, and the characteristic comparison is carried out on the optical detection image of the object to be detected, so that the anti-counterfeiting detection is realized, the convenience of the anti-counterfeiting detection can be effectively improved, and the accuracy of the anti-counterfeiting detection result is ensured.
The method in fig. 5 is a refined anti-counterfeiting detection method provided by the second embodiment of the present application, and is applied to an intelligent wearable device including an anti-counterfeiting light emitting component and an image acquisition component, where the anti-counterfeiting detection method includes:
step 501, when an anti-counterfeiting detection instruction is received, a target wavelength of anti-counterfeiting light required by an object to be detected is obtained.
Specifically, in practical application, for different objects to be detected in different anti-counterfeiting detection scenes, such as invoices, banknotes, etc., the materials of the objects are different, so that the required light wavelength during anti-counterfeiting detection may be different.
Step 502, controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to the object to be detected.
Specifically, in this embodiment, in order to satisfy different anti-counterfeit detection scenarios, the anti-counterfeit light emission assembly may support output of anti-counterfeit light with different wavelengths. The anti-counterfeiting light emitting component can be an infrared light emitting component, an ultraviolet light emitting component and the like.
Step 503, controlling an image acquisition component to acquire an anti-counterfeiting detection image corresponding to the object to be detected.
Specifically, according to the principle that the material of different objects to be detected has different penetrating capacities for anti-counterfeiting light, the image of the objects to be detected irradiated by the anti-counterfeiting light can be recorded by a camera provided with a special optical filter.
Step 504, obtaining a detection accuracy level required by the object to be detected.
Step 505, determining standard image feature data corresponding to the detection accuracy level from a plurality of available standard image feature data.
Specifically, in this embodiment, considering that the requirements of users on anti-counterfeit detection accuracy under different anti-counterfeit detection scenes are different, the detection accuracy level of this embodiment may be divided into high, medium and low, where the feature richness of the standard image feature data corresponding to different detection accuracy levels is different.
And step 506, comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data.
And 507, outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result.
Specifically, in this embodiment, a correlation threshold may be preset, and then the correlation obtained by comparing features with the correlation threshold is compared, and when the correlation threshold is greater than or equal to the correlation threshold, it is determined that the anti-counterfeit detection result of the object to be detected is true, otherwise, the anti-counterfeit detection result is counterfeit.
It should be understood that, the sequence number of each step in this embodiment does not mean the order of execution of the steps, and the execution order of each step should be determined by its functions and internal logic, and should not be construed as a unique limitation on the implementation process of the embodiment of the present application.
The embodiment of the application discloses an anti-counterfeiting detection method, which comprises the steps of firstly, controlling an anti-counterfeiting light emission component of intelligent wearing equipment to emit anti-counterfeiting light with target wavelength to an object to be detected; then, an image acquisition component of the intelligent wearable device is controlled to acquire an anti-fake detection image corresponding to the object to be detected; further, comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data; and finally, outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result. By implementing the scheme of the application, the optical anti-counterfeiting detection assembly is configured on the intelligent wearable device, and the characteristic comparison is carried out on the optical detection image of the object to be detected, so that the anti-counterfeiting detection is realized, the convenience of the anti-counterfeiting detection can be effectively improved, and the accuracy of the anti-counterfeiting detection result is ensured.
Fig. 6 is a schematic diagram of an anti-counterfeit detection device according to a third embodiment of the present application. The anti-fake detection device can be used for intelligent wearable equipment comprising an anti-fake light ray emission component and an image acquisition component. As shown in fig. 6, the anti-counterfeit detection device mainly includes:
The emission module 601 is used for controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to the object to be detected;
the acquisition module 602 is used for controlling the image acquisition component to acquire an anti-counterfeiting detection image corresponding to the object to be detected;
A comparison module 603, configured to compare actual image feature data of the anti-counterfeit detection image with standard image feature data;
and the output module 604 is used for outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result.
In some implementations of the present embodiment, the transmitting module 601 is specifically configured to: when an anti-counterfeiting detection instruction is received, acquiring a target wavelength corresponding to an anti-counterfeiting detection scene; selecting a target anti-counterfeiting light emission component corresponding to the target wavelength from a plurality of anti-counterfeiting light emission components; the anti-counterfeiting light emission component of the control target emits anti-counterfeiting light with target wavelength to the object to be detected.
Further, in some implementations of this embodiment, the anti-counterfeiting detection device further includes: a generation module for: before the target wavelength corresponding to the anti-counterfeiting detection scene is acquired, controlling an image acquisition component to acquire an environment image in real time; identifying a target object in the environment image, and acquiring an object attribute corresponding to the target object; and when the target object is determined to be the anti-counterfeiting detection object according to the object attribute, generating an anti-counterfeiting detection instruction.
In other implementations of the present embodiment, the transmitting module 601 is specifically configured to: and controlling a plurality of anti-counterfeiting light emission assemblies with different light source types to emit anti-counterfeiting light with target wavelengths to the object to be detected respectively. Correspondingly, the acquisition module 602 is specifically configured to: respectively selecting an image acquisition assembly configured with corresponding optical filters according to a plurality of light source types; and controlling the selected image acquisition components to acquire anti-counterfeiting detection images corresponding to the objects to be detected respectively.
In some implementations of this embodiment, the anti-counterfeiting detection device further includes: a determining module for: before comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data, acquiring a corresponding target object type of an object to be detected; and determining the image characteristic data corresponding to the target object type as standard image characteristic data according to the preset mapping relation between the object type and the image characteristic data.
In other implementations of this embodiment, the determining module is further configured to: before comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data, acquiring the detection accuracy level required by the object to be detected; from a plurality of available standard image feature data, standard image feature data corresponding to a detection accuracy level is determined.
In some implementations of this embodiment, the anti-counterfeiting detection device further includes: a comparison module for: before comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data, identifying an image quality evaluation index of the anti-counterfeiting detection image; and comparing the image quality evaluation index with a standard image quality evaluation index meeting the anti-counterfeiting detection requirement. Correspondingly, the comparison module 603 is specifically configured to: when the image quality evaluation index meets the anti-counterfeiting detection requirement, comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data; the transmitting module 601 is further configured to: and when the image quality evaluation index does not meet the anti-counterfeiting detection requirement, controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to the object to be detected.
It should be noted that, the anti-counterfeit detection methods in the first and second embodiments may be implemented based on the anti-counterfeit detection device provided in the first embodiment, and those skilled in the art can clearly understand that, for convenience and brevity of description, the specific working process of the anti-counterfeit detection device described in the present embodiment may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
According to the anti-counterfeiting detection device provided by the embodiment, firstly, an anti-counterfeiting light emission component of the intelligent wearable device is controlled to emit anti-counterfeiting light with target wavelength to an object to be detected; then, an image acquisition component of the intelligent wearable device is controlled to acquire an anti-fake detection image corresponding to the object to be detected; further, comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data; and finally, outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result. By implementing the scheme of the application, the optical anti-counterfeiting detection assembly is configured on the intelligent wearable device, and the characteristic comparison is carried out on the optical detection image of the object to be detected, so that the anti-counterfeiting detection is realized, the convenience of the anti-counterfeiting detection can be effectively improved, and the accuracy of the anti-counterfeiting detection result is ensured.
Referring to fig. 7, fig. 7 is a schematic diagram of an electronic device according to a fourth embodiment of the application. The electronic device can be used for realizing the anti-counterfeiting detection method in the previous embodiment. As shown in fig. 7, the electronic device mainly includes:
Memory 701, processor 702, bus 703, and a computer program stored on memory 701 and executable on processor 702, the memory 701 and processor 702 being connected by bus 703. When the processor 702 executes the computer program, the anti-counterfeit detection method in the foregoing embodiment is implemented. Wherein the number of processors may be one or more.
The memory 701 may be a high-speed random access memory (RAM, random Access Memory) memory or a non-volatile memory (non-volatile memory), such as a disk memory. The memory 701 is used for storing executable program codes, and the processor 702 is coupled with the memory 701.
Further, an embodiment of the present application further provides a computer readable storage medium, which may be provided in the electronic device in each of the foregoing embodiments, and the computer readable storage medium may be a memory in the foregoing embodiment shown in fig. 7.
The computer readable storage medium stores a computer program which, when executed by a processor, implements the anti-counterfeit detection method of the foregoing embodiment. Further, the computer-readable medium may be any medium capable of storing a program code, such as a usb (universal serial bus), a removable hard disk, a Read-Only Memory (ROM), a RAM, a magnetic disk, or an optical disk.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.
The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a readable storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned readable storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
It should be noted that, for the sake of simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
The foregoing describes the anti-counterfeit detection method, apparatus and computer readable storage medium provided by the present application, and those skilled in the art will appreciate that the present application is not limited to the specific embodiments and applications described herein.
Claims (10)
1. The anti-fake detection method is applied to intelligent wearable equipment comprising an anti-fake light emission component and an image acquisition component, and is characterized by comprising the following steps:
Controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to an object to be detected, wherein the target wavelength corresponds to an anti-counterfeiting detection scene;
controlling the image acquisition component to acquire an anti-counterfeiting detection image corresponding to the object to be detected;
Comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data;
and outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result.
2. The anti-counterfeiting detection method according to claim 1, wherein controlling the anti-counterfeiting light emitting component to emit the anti-counterfeiting light of the target wavelength to the object to be detected comprises:
when an anti-counterfeiting detection instruction is received, acquiring a target wavelength corresponding to an anti-counterfeiting detection scene;
Selecting a target anti-counterfeiting light emission component corresponding to the target wavelength from a plurality of anti-counterfeiting light emission components;
and controlling the target anti-counterfeiting light emission component to emit anti-counterfeiting light with the target wavelength to the object to be detected.
3. The anti-counterfeit detection method according to claim 2, wherein before said obtaining the target wavelength corresponding to the anti-counterfeit detection scene, further comprising:
controlling the image acquisition component to acquire an environment image in real time;
Identifying a target object in the environment image, and acquiring an object attribute corresponding to the target object;
And generating the anti-counterfeiting detection instruction when the target object is determined to be the anti-counterfeiting detection object according to the object attribute.
4. The anti-counterfeiting detection method according to claim 1, wherein controlling the anti-counterfeiting light emitting component to emit the anti-counterfeiting light of the target wavelength to the object to be detected comprises:
Controlling a plurality of anti-counterfeiting light emission assemblies with different light source types to emit anti-counterfeiting light with target wavelength to an object to be detected respectively;
The controlling the image acquisition component to acquire the anti-counterfeiting detection image corresponding to the object to be detected comprises the following steps:
Respectively selecting the image acquisition components configured with the corresponding optical filters aiming at the multiple light source types;
And controlling the selected plurality of image acquisition components to acquire anti-counterfeiting detection images corresponding to the object to be detected respectively.
5. The anti-counterfeit detection method according to claim 1, wherein before comparing the actual image feature data of the anti-counterfeit detection image with the standard image feature data, further comprising:
acquiring a corresponding target object type of the object to be detected;
and determining the image characteristic data corresponding to the target object type as the standard image characteristic data according to the mapping relation between the preset object type and the image characteristic data.
6. The anti-counterfeit detection method according to claim 1, wherein before comparing the actual image feature data of the anti-counterfeit detection image with the standard image feature data, further comprising:
Acquiring the detection accuracy level required by the object to be detected;
from a plurality of available standard image feature data, the standard image feature data corresponding to the detection accuracy level is determined.
7. The anti-counterfeit detection method according to any one of claims 1 to 6, wherein before comparing the actual image feature data of the anti-counterfeit detection image with the standard image feature data, further comprising:
Identifying an image quality evaluation index of the anti-counterfeiting detection image;
comparing the image quality evaluation index with a standard image quality evaluation index meeting the anti-counterfeiting detection requirement;
Executing the step of comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data when the image quality evaluation index meets the anti-counterfeiting detection requirement;
And when the image quality evaluation index does not meet the anti-counterfeiting detection requirement, returning to the step of controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to the object to be detected.
8. Anti-fake detection device is applied to intelligent wearing equipment including anti-fake light emission component and image acquisition subassembly, its characterized in that includes:
The emission module is used for controlling the anti-counterfeiting light emission component to emit anti-counterfeiting light with target wavelength to an object to be detected, and the target wavelength corresponds to an anti-counterfeiting detection scene;
the acquisition module is used for controlling the image acquisition component to acquire an anti-counterfeiting detection image corresponding to the object to be detected;
The comparison module is used for comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data;
and the output module is used for outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result.
9. An electronic device, comprising: memory, processor, and bus;
the bus is used for realizing connection communication between the memory and the processor;
the processor is used for executing the computer program stored on the memory;
the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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| CN102831693A (en) * | 2011-06-15 | 2012-12-19 | 深圳贝斯特机械电子有限公司 | Portable mobile terminal with counterfeit detection function of paper money or ticket and counterfeit detection method thereof |
| CN103761652A (en) * | 2013-11-30 | 2014-04-30 | 北京智谷睿拓技术服务有限公司 | Anti-fake method and anti-fake device |
| CN110853217A (en) * | 2018-07-24 | 2020-02-28 | 深圳怡化电脑股份有限公司 | Method, device and equipment for determining false discriminating wavelength and storage medium |
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| CN1209314C (en) * | 1999-02-17 | 2005-07-06 | 欧洲工业技术开发公司 | Method for producing an anhydrite III or based hydraulic bonding agent and obtained hydraulic bonding agent |
| JP4266495B2 (en) * | 2000-06-12 | 2009-05-20 | グローリー株式会社 | Banknote handling machine |
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| CN102831693A (en) * | 2011-06-15 | 2012-12-19 | 深圳贝斯特机械电子有限公司 | Portable mobile terminal with counterfeit detection function of paper money or ticket and counterfeit detection method thereof |
| CN103761652A (en) * | 2013-11-30 | 2014-04-30 | 北京智谷睿拓技术服务有限公司 | Anti-fake method and anti-fake device |
| CN110853217A (en) * | 2018-07-24 | 2020-02-28 | 深圳怡化电脑股份有限公司 | Method, device and equipment for determining false discriminating wavelength and storage medium |
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