CN114613062A - 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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- 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
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- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
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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 emitting component of the intelligent wearable device to emit anti-counterfeiting light with a target wavelength to an object to be detected; controlling an image acquisition component of the intelligent wearable equipment to acquire an anti-counterfeiting 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. Through the implementation of this application scheme, dispose optics anti-fake detection subassembly on intelligent wearing equipment, treat the optical detection image of detected object and carry out the characteristic and compare to realize anti-fake detection, can effectively promote anti-fake detection's convenience, and guarantee anti-fake detection result's accuracy.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to an anti-counterfeit detection method and apparatus, and a computer-readable storage medium.
Background
In social economic activities, users usually need to use bills such as bank notes, invoices, bank notes, checks and the like, and with the improvement of counterfeiting technologies, users suffer great economic loss if receiving counterfeit bills, so that the anti-counterfeiting detection of the bills is particularly important. At present, users usually rely on special anti-counterfeiting detection devices such as currency detectors and the like to perform anti-counterfeiting detection on tickets, and most users cannot carry about due to poor portability of the anti-counterfeiting detection devices on the market, so that the anti-counterfeiting detection accuracy cannot be effectively guaranteed by still adopting more manual identification (such as naked eyes, hand feeling and the like) modes in the aspect of anti-counterfeiting detection on the tickets.
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 can at least solve the problem that the convenience and the accuracy of the anti-counterfeiting detection of a ticket cannot be considered in the related technology.
The first aspect of the embodiments of the present application provides an anti-counterfeiting detection method, which is applied to an intelligent wearable device including an anti-counterfeiting light emitting component and an image collecting component, and includes:
controlling the anti-counterfeiting light emitting component to emit anti-counterfeiting light with target wavelength to the object to be detected;
controlling the image acquisition assembly 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 standard image characteristic data;
and outputting an anti-counterfeiting detection result corresponding to the object to be detected according to the comparison result.
The embodiment of this application in the second aspect provides an anti-fake detection device, is applied to the intelligence wearing equipment including anti-fake light emission subassembly and image acquisition subassembly, includes:
the transmitting module is used for controlling the anti-counterfeiting light transmitting component to transmit anti-counterfeiting light with target wavelength to the object to be detected;
the acquisition module is used for controlling the image acquisition assembly 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 embodiments of the present application provides an electronic apparatus, including: the anti-counterfeiting detection method comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the computer program, the steps of the anti-counterfeiting detection method provided by the first aspect of the embodiment of the application are realized.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, on which a computer program is stored, where when the computer program is executed by a processor, the steps in the anti-counterfeit detection method provided in the first aspect of the embodiments of the present application are implemented.
In view of 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 emitting component of the intelligent wearable device is controlled to emit anti-counterfeiting light with a target wavelength to the object to be detected; then, controlling an image acquisition component of the intelligent wearable equipment to acquire an anti-counterfeiting 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. Through the implementation of this application scheme, dispose optics anti-fake detection subassembly on intelligent wearing equipment, treat the optical detection image of detected object and carry out the characteristic and compare to realize anti-fake detection, can effectively promote anti-fake detection's convenience, and guarantee anti-fake detection result's accuracy.
Drawings
Fig. 1 is a schematic view of a main body part of an intelligent wearable device provided in a first embodiment of the present application;
fig. 2 is a schematic basic flowchart of an anti-counterfeit detection method according to a first embodiment of the present disclosure;
FIG. 3 is a schematic flow chart illustrating a method for controlling an anti-counterfeit light-emitting device according to a first embodiment of the present disclosure;
fig. 4 is a schematic flowchart of a method for generating an anti-counterfeit detection instruction according to a first embodiment of the present application;
fig. 5 is a schematic detailed flow chart of an anti-counterfeit detection method according to a second embodiment of the present application;
FIG. 6 is a schematic diagram of program modules of an anti-counterfeit detection apparatus 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 invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to solve the defect that the convenience and accuracy of the anti-counterfeiting detection of the ticket cannot be considered in the related art, the first embodiment of the application provides an anti-counterfeiting detection method, which is applied to an intelligent wearable device comprising an anti-counterfeiting light emitting component and an image collecting component, wherein the intelligent wearable device can comprise an intelligent watch, intelligent glasses, an intelligent belt and the like, as shown in fig. 1, the main part of the intelligent wearable device provided by the embodiment is shown in a schematic view, wherein a is the image collecting component, the image collecting component comprises a camera, and B is the anti-counterfeiting light emitting component, the anti-counterfeiting light emitting component comprises components meeting the anti-counterfeiting detection requirements, such as an infrared light emitting diode and an ultraviolet light emitting diode, and the like, it should be noted that, in practical application, in order to meet the effective collection of an image, which is irradiated to the surface of an object to be detected, by the image collecting component, the image acquisition assembly of the present embodiment may also be configured with an optical filter.
Fig. 2 is a basic flowchart of the anti-counterfeit detection method provided in this embodiment, where the anti-counterfeit detection method includes the following steps:
Specifically, the object to be detected in this embodiment may be a ticket such as a bank note, an invoice, a bank note, and a check, and since the ticket is usually made of special paper, the paper hardness, the density, and the printing ink thickness are relatively high, so that in practical application, the absorption capacity of the counterfeit light of the ticket to be detected is different.
It should be understood that the anti-counterfeiting light emitting component of the present embodiment may be an infrared light emitting component, an ultraviolet light emitting component, or other components that emit invisible light, and the present embodiment preferably employs an infrared light emitting component, where the infrared light emitting component includes a plurality of infrared diodes.
It should be noted that, in practical application, if keep anti-fake light emission subassembly normally open then probably cause great consumption, from this, this embodiment can set up load switch to anti-fake light emission subassembly, when the user possesses anti-fake detection demand, triggers load switch and gets into the on-state to control anti-fake light source subassembly and get into operating condition. Certainly, in another implementation manner, a plurality of systems can be set for the intelligent wearable device, one system a is a conventional use system, the other system B is an anti-counterfeiting detection use system, and when the user has an anti-counterfeiting detection requirement, the intelligent wearable device can be controlled to be switched to the system B.
Specifically, according to the principle that the penetration ability of different materials of the object to be detected for the anti-counterfeiting light is different, the camera provided with the special optical filter is used for shooting and recording the image of the object to be detected after being irradiated by the anti-counterfeiting light.
In addition, it should be noted that, in practical applications, a plurality of image acquisition assemblies may be configured on the intelligent wearable device, where the image acquisition assembly a is not configured with an optical filter for the user to use conventionally, and the image acquisition assembly B is configured with an optical filter for the user to use in anti-counterfeit detection. The embodiment can identify the current image acquisition scene and call the corresponding image acquisition component according to the identified image acquisition scene.
Specifically, in this embodiment, the absorption capacities of the counterfeit detection tickets to be detected for authenticity are different, so that the feature expressions of the finally acquired counterfeit detection images are different, and it should be understood that the standard image feature data of this embodiment corresponds to the image feature data of the real counterfeit detection object. In the embodiment, after the anti-counterfeiting detection image is collected, the image characteristics and the real image characteristics are subjected to correlation comparison to determine whether the object to be detected is real.
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 is greater than or equal to the correlation threshold, the anti-counterfeit detection result of the object to be detected is determined to be true, otherwise, the anti-counterfeit detection result is determined to be counterfeit. It should be understood 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 the method of image identification and characteristic comparison to carry out anti-fake detection, can effectively promote anti-fake detection's accuracy.
Fig. 3 is a schematic flow chart of the method for controlling an anti-counterfeit light emitting assembly according to this embodiment, in some embodiments of this embodiment, the flow chart specifically includes the following steps:
301, when an anti-counterfeiting detection instruction is received, acquiring a target wavelength corresponding to an anti-counterfeiting detection scene;
302, selecting a target anti-counterfeiting light emitting component corresponding to a target wavelength from a plurality of anti-counterfeiting light emitting components;
and 303, controlling the target anti-counterfeiting light emitting component to emit anti-counterfeiting light with the target wavelength to the object to be detected.
Specifically, in practical application, the anti-counterfeiting light emitting component, such as the infrared light emitting component, configured on the intelligent wearable device is not only used for anti-counterfeiting, but also used for other uses (such as ranging), and the light wavelength required in different use scenes is different; or the required light wavelength can be different according to different objects to be detected under different anti-counterfeiting detection scenes. Based on this, the intelligent wearing equipment of this embodiment can be configured with the different anti-fake light emission subassembly of a plurality of light wavelength that emit, then confirms to be in anti-fake detection scene at present according to anti-fake detection instruction, and according to the required light wavelength of current anti-fake detection scene, selects the anti-fake light emission subassembly that corresponds from a plurality of anti-fake light emission subassemblies in the adaptability, then triggers the anti-fake light emission subassembly that selects and gets into operating condition.
Certainly, in other embodiments, only a single anti-counterfeiting light emitting component may be configured on the intelligent wearable device, and the anti-counterfeiting light emitting component supports emitting light rays with different wavelengths, so that the wavelength of the light rays to be emitted may be determined according to the requirements of the current application scene, and the anti-counterfeiting light emitting component is correspondingly controlled accordingly.
As shown in fig. 4, which is a schematic flow chart of a method for generating an anti-counterfeit detection instruction according to this embodiment, further, in some embodiments of this embodiment, before the step of obtaining a target wavelength corresponding to an anti-counterfeit detection scene, the method specifically includes the following steps:
and 403, generating an anti-counterfeiting detection instruction when the target object is determined to be the anti-counterfeiting detection object according to the object attribute.
Specifically, in practical application, can be by the manual input anti-counterfeit detection instruction of user when possessing the anti-counterfeit detection demand, and in order to guarantee user's convenience of operation, this embodiment can carry out environmental image collection in real time through the image acquisition subassembly, then whether discernment has anti-counterfeit detection object to appear at present, when the user possesses the anti-counterfeit detection demand usually, can be close to the image acquisition subassembly with anti-counterfeit detection object, and if discern anti-counterfeit detection object, then explain that present user possesses the anti-counterfeit detection demand, and the automatic generation anti-counterfeit detection instruction, therefore, the user need not touch the anti-counterfeit detection option on intelligent wearing equipment, and only need directly will detect the object of waiting and be close to the image acquisition subassembly and can trigger anti-counterfeit detection automatically, user operation has been simplified.
In some embodiments 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 the anti-counterfeiting light emitting assemblies with different light source types to respectively emit anti-counterfeiting light with target wavelength to the object to be detected. 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: selecting image acquisition assemblies configured with corresponding optical filters respectively according to a plurality of light source types; and controlling the selected plurality of image acquisition components to respectively acquire anti-counterfeiting detection images corresponding to the object to be detected.
Specifically, in the present embodiment, considering that the accuracy of a single anti-counterfeit detection method is limited, the present embodiment may adopt a composite anti-counterfeit detection method, that is, different anti-counterfeit light (for example, a combination of infrared light and ultraviolet light) is combined 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 simultaneously, then different image collecting assemblies are configured through optical filters to collect corresponding anti-counterfeiting detection images respectively, then the characteristic comparison is carried out on the anti-counterfeiting detection images respectively, and if the characteristic comparison of the anti-counterfeiting detection images passes, the obtained real detection result of the object to be detected is more reliable.
In some embodiments of this embodiment, before the step of comparing the actual image characteristic data of the anti-counterfeit detection image with the standard image characteristic data, the method further includes: acquiring a target object type corresponding to 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 guarantee the variety of anti-counterfeit detection, the intelligent wearable device of this embodiment can support the different anti-counterfeit detection of waiting to detect the object of multiple type, for example can support the detection of different face values/national bank notes, invoices etc. simultaneously. In this embodiment, corresponding standard image feature data is configured in advance for different types of anti-counterfeiting detection objects, and then, the corresponding standard image feature data may be selected for comparison and use according to an object type input by a user through an object type selection option or an object type obtained through image recognition.
In some embodiments of this embodiment, before the step of comparing the actual image characteristic data of the anti-counterfeit detection image with the standard image characteristic data, the method further includes: acquiring the detection accuracy grade 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 the user 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, wherein the feature abundance degree of the corresponding standard image feature data under different detection accuracy levels is different, the higher the detection accuracy level is, the richer the features contained in the standard image feature data are, and this embodiment determines the corresponding standard image feature data according to the actual requirements of the user on the detection accuracy, so as to realize the compromise between the anti-counterfeit detection accuracy and the anti-counterfeit detection efficiency.
In some embodiments of this embodiment, before the step of comparing the actual image characteristic data of the anti-counterfeit detection image with the standard image characteristic data, the method further includes: identifying image quality evaluation indexes 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, the step of comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data is executed; and returning to 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 when the image quality evaluation index does not meet the anti-counterfeiting detection requirement.
Specifically, in practical application, under the influence of ambient light factors or the influence of position factors of a user placing an object to be detected, the acquired anti-counterfeiting detection image may not meet the anti-counterfeiting detection requirement, so that in this embodiment, before performing feature comparison on the anti-counterfeiting detection image, the image quality of the currently acquired anti-counterfeiting detection image is evaluated, if the image quality meets the anti-counterfeiting detection requirement, the image quality is compared by using the anti-counterfeiting detection image, otherwise, the step 201 is returned to be executed, and the anti-counterfeiting detection image is acquired again. Of course, in this embodiment, can also further control intelligent wearing equipment output operation instruction to the user indicates the locating position of waiting to detect the object, so that it is accurate counterpoint to detect the object and anti-fake light emission subassembly and image acquisition subassembly.
It should be understood that, when the anti-counterfeit detection result is output, 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 emitting component of the intelligent wearable device is controlled to emit anti-counterfeiting light with target wavelength to an object to be detected; then, controlling an image acquisition component of the intelligent wearable device to acquire an anti-counterfeiting 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. Through the implementation of this application scheme, dispose optics anti-fake detection subassembly on intelligent wearing equipment, treat the optical detection image of detected object and carry out the characteristic and compare to realize anti-fake detection, can effectively promote anti-fake detection's convenience, and guarantee anti-fake detection result's accuracy.
The method in fig. 5 is a detailed anti-counterfeiting detection method provided in a second embodiment of the present application, and is applied to an intelligent wearable device including an anti-counterfeiting light emitting component and an image capturing component, where the anti-counterfeiting detection method includes:
Specifically, in practical application, different objects to be detected under different anti-counterfeiting detection scenes, such as invoices, banknotes and the like, are different in material, so that the required light wavelength during anti-counterfeiting detection can be different.
Specifically, in this embodiment, the anti-counterfeiting light emitting assembly can support the output of anti-counterfeiting lights with different wavelengths in order to satisfy different anti-counterfeiting detection scenes. The anti-counterfeiting light emitting component can be an infrared light emitting component, an ultraviolet light emitting component and the like.
Specifically, according to the principle that the penetration ability of different materials of the object to be detected for the anti-counterfeiting light is different, the camera configured with the special optical filter can be used for recording the image of the object to be detected after being irradiated by the anti-counterfeiting light.
And step 504, acquiring the detection accuracy grade required by the object to be detected.
Specifically, in the embodiment, considering that the requirements of the user on the anti-counterfeiting detection accuracy are different in different anti-counterfeiting detection scenes, the detection accuracy grade of the embodiment can be high, medium and low, wherein the feature abundance degrees of the corresponding standard image feature data are different in different detection accuracy grades.
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 the features is compared with the correlation threshold, and when the correlation 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 size of the serial number of each step in this embodiment does not mean the execution sequence of the step, and the execution sequence of each step should be determined by its function and inherent logic, and should not be limited uniquely to the implementation process of the embodiment of the present application.
The embodiment of the application discloses an anti-counterfeiting detection method, which comprises the following steps of firstly, controlling an anti-counterfeiting light emitting component of intelligent wearable equipment to emit anti-counterfeiting light with target wavelength to an object to be detected; then, controlling an image acquisition component of the intelligent wearable device to acquire an anti-counterfeiting 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. Through the implementation of this application scheme, dispose optics anti-fake detection subassembly on intelligent wearing equipment, treat the optical detection image of detected object and carry out the characteristic and compare to realize anti-fake detection, can effectively promote anti-fake detection's convenience, and guarantee anti-fake detection result's accuracy.
Fig. 6 is a schematic diagram of an anti-counterfeit detection apparatus according to a third embodiment of the present application. The anti-counterfeiting detection device can be used for intelligent wearable equipment comprising an anti-counterfeiting light emission assembly and an image acquisition assembly. As shown in fig. 6, the anti-counterfeit detection device mainly includes:
the emitting module 601 is used for controlling the anti-counterfeiting light emitting component to emit anti-counterfeiting light with a target wavelength to the object to be detected;
the acquisition module 602 is configured to control the image acquisition component to acquire an anti-counterfeit detection image corresponding to an object to be detected;
a comparison module 603, configured to compare actual image characteristic data of the anti-counterfeit detection image with standard image characteristic data;
the output module 604 is configured to output an anti-counterfeit detection result corresponding to the object to be detected according to the comparison result.
In some implementations of this 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 emitting component corresponding to the target wavelength from a plurality of anti-counterfeiting light emitting components; and controlling the target anti-counterfeiting light emitting assembly to emit anti-counterfeiting light with the target wavelength to the object to be detected.
Further, in some embodiments of this embodiment, the anti-counterfeit detection apparatus further includes: a generation module to: before acquiring a target wavelength corresponding to an anti-counterfeiting detection scene, controlling an image acquisition component to acquire an environmental 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 embodiments of this embodiment, the transmitting module 601 is specifically configured to: and controlling the anti-counterfeiting light emitting assemblies with different light source types to respectively emit anti-counterfeiting light with target wavelength to the object to be detected. Correspondingly, the acquisition module 602 is specifically configured to: selecting image acquisition assemblies configured with corresponding optical filters respectively according to a plurality of light source types; and controlling the selected plurality of image acquisition components to respectively acquire anti-counterfeiting detection images corresponding to the objects to be detected.
In some embodiments of this embodiment, the anti-counterfeit detection apparatus further comprises: a determination module to: before comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data, acquiring a target object type corresponding to 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 embodiments 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 grade 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 embodiments of this embodiment, the anti-counterfeit detection apparatus further comprises: a comparison module to: 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 comparing 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 emitting component to emit anti-counterfeiting light with the target wavelength to the object to be detected.
It should be noted that the anti-counterfeiting detection methods in the first and second embodiments can be implemented based on the anti-counterfeiting detection device provided in this embodiment, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the anti-counterfeiting detection device described in this embodiment may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
According to the anti-counterfeiting detection device provided by the embodiment, firstly, an anti-counterfeiting light emitting component of the intelligent wearable device is controlled to emit anti-counterfeiting light with target wavelength to an object to be detected; then, controlling an image acquisition component of the intelligent wearable device to acquire an anti-counterfeiting 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. Through the implementation of this application scheme, dispose optics anti-fake detection subassembly on intelligent wearing equipment, treat the optical detection image of detected object and carry out the characteristic and compare to realize anti-fake detection, can effectively promote anti-fake detection's convenience, and guarantee anti-fake detection result's accuracy.
Referring to fig. 7, fig. 7 is an electronic device according to a fourth embodiment of the present disclosure. The electronic device can be used for realizing the anti-counterfeiting detection method in the embodiment. As shown in fig. 7, the electronic device mainly includes:
a memory 701, a processor 702, a bus 703 and a computer program stored on the memory 701 and executable on the processor 702, the memory 701 and the processor 702 being connected by the bus 703. The processor 702, when executing the computer program, implements the anti-counterfeit detection method in the foregoing embodiments. Wherein the number of processors may be one or more.
The Memory 701 may be a high-speed Random Access Memory (RAM) Memory or a non-volatile Memory (non-volatile Memory), such as a disk Memory. The memory 701 is used for storing executable program code, and the processor 702 is coupled with the memory 701.
Further, an embodiment of the present application also provides a computer-readable storage medium, where the computer-readable storage medium may be provided in an electronic device in the foregoing embodiments, and the computer-readable storage medium may be the memory in the foregoing embodiment shown in fig. 7.
The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the anti-counterfeiting detection method in the foregoing embodiments. Further, the computer-readable storage medium may be various media that can store program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a RAM, a magnetic disk, or an optical disk.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on 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 the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a readable storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned readable storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
It should be noted that, for the sake of simplicity, the above-mentioned method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In view of the above description of the anti-counterfeit detection method, device and computer readable storage medium provided by the present application, those skilled in the art will appreciate that the embodiments and applications of the present application can be modified, and in summary, the present disclosure should not be construed as limiting the present application.
Claims (10)
1. The utility model provides an anti-fake detection method, is applied to the intelligent wearing equipment including anti-fake light emission subassembly and image acquisition subassembly, its characterized in that includes:
controlling the anti-counterfeiting light emitting component to emit anti-counterfeiting light with target wavelength to the object to be detected;
controlling the image acquisition assembly 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 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 the controlling of the anti-counterfeiting light emitting component to emit the anti-counterfeiting light with 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 emitting component corresponding to the target wavelength from a plurality of anti-counterfeiting light emitting components;
and controlling the target anti-counterfeiting light emitting assembly 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 the obtaining the target wavelength corresponding to the anti-counterfeit detection scenario, the method further comprises:
controlling the image acquisition assembly 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 the controlling of the anti-counterfeiting light emitting component to emit the anti-counterfeiting light with the target wavelength to the object to be detected comprises:
controlling the anti-counterfeiting light emitting assemblies with different light source types to respectively emit anti-counterfeiting light with target wavelength to the object to be detected;
the controlling the image acquisition assembly to acquire the anti-counterfeiting detection image corresponding to the object to be detected comprises the following steps:
selecting the image acquisition assemblies configured with corresponding optical filters respectively according to the types of the light sources;
and controlling the selected image acquisition components to respectively acquire anti-counterfeiting detection images corresponding to the object to be detected.
5. The anti-counterfeit detection method according to claim 1, wherein before comparing the actual image characteristic data of the anti-counterfeit detection image with the standard image characteristic data, the method further comprises:
acquiring a target object type corresponding to 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 a preset mapping relation between the object type and the image characteristic data.
6. The anti-counterfeit detection method according to claim 1, wherein before comparing the actual image characteristic data of the anti-counterfeit detection image with the standard image characteristic data, the method further comprises:
acquiring the detection accuracy grade required by the object to be detected;
determining the standard image feature data corresponding to the detection accuracy level from a plurality of available standard image feature data.
7. The anti-counterfeiting detection method according to any one of claims 1 to 6, wherein before comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data, the method further comprises:
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;
when the image quality evaluation index meets the anti-counterfeiting detection requirement, the step of comparing the actual image characteristic data of the anti-counterfeiting detection image with the standard image characteristic data is executed;
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 emitting component to emit the anti-counterfeiting light with the target wavelength to the object to be detected.
8. The utility model provides an anti-fake detection device, is applied to the intelligent wearing equipment including anti-fake light emission subassembly and image acquisition subassembly, its characterized in that includes:
the transmitting module is used for controlling the anti-counterfeiting light transmitting component to transmit anti-counterfeiting light with target wavelength to the object to be detected;
the acquisition module is used for controlling the image acquisition assembly 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: a memory, a processor, and a bus;
the bus is used for realizing connection communication between the memory and the processor;
the processor is configured to execute a computer program stored on the memory;
the processor, when executing the computer program, performs 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, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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