Unmanned sales supermarket monitoring picture content recognition device

Abstract

The invention relates to an unmanned sales supermarket monitoring picture content recognition device, which comprises a picture sensing device for performing photoelectric sensing on an access channel environment of an unmanned sales supermarket to obtain an access sensing picture; and the intelligent verification device is used for intelligently verifying whether the in-and-out induction picture is obtained by carrying out logarithmic image enhancement processing on an original picture corresponding to the in-and-out induction picture in the picture induction equipment or not based on various field information of the unmanned sales supermarket, the typical processing picture and the gradient numerical value of the in-and-out induction picture. The unmanned sales supermarket monitoring picture content identification device is stable in operation and reliable in monitoring. The neural network can be adopted to intelligently verify whether the in-out induction picture is subjected to logarithmic image enhancement processing by the original picture corresponding to the in-out induction picture in the picture induction equipment based on each piece of field information and each piece of visual content of the unmanned sales supermarket; therefore, the effective verification of the image processing type executed by the in-out induction picture is realized.

Description

Technical Field

[0001] The present invention relates to the field of smart cities, and in particular to a device for identifying content of surveillance images of unmanned supermarkets. Background Art

[0002] Smart city is an important part of digital earth and a digital form of traditional city. Smart city is a virtual space formed by combining urban geographic information and other urban information with computer, Internet, multimedia and other technologies, digitizing and storing them on computer networks. Smart city construction integrates multiple resources through the standardization of spatial data infrastructure and the digitization of various urban information, providing a foundation for data sharing and interoperability from both technical and institutional aspects, and realizing the integrated integration of urban 3S technology and the in-depth application of information technology in various industries and fields. The development of smart city has accumulated a large amount of basic and operational data, and also faces many challenges, including the collection, analysis, storage, and utilization of a large amount of information at the city level, various complex problems in the integration of multiple devices, and the alienation of urban development caused by technological development.

[0003] Unmanned supermarkets are a highlight of smart city construction. Obviously, in order to ensure the normal operation of unmanned sales, multiple cameras need to be installed inside the unmanned supermarket to monitor the various environments inside the supermarket. However, since the cameras are generally not customized for unmanned supermarkets, the images transmitted by these cameras may have undergone a certain image optimization processing, such as logarithmic image enhancement processing. The images obtained after image optimization processing affect the monitoring end's accurate judgment of the on-site scene of the unmanned supermarket. In the final analysis, the technical difficulty lies in the inability to analyze the image content of the received monitoring images to determine whether they have undergone image optimization processing such as logarithmic image enhancement processing. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a device for identifying the content of monitoring images of unmanned supermarkets, which obtains the original image obtained by a certain historical photoelectric sensing action of an image sensing device on the entry and exit channel environment of the unmanned supermarket, and performs logarithmic image enhancement processing on the original image to obtain a corresponding typical processed image, wherein the original image obtained by the image sensing device on a certain historical photoelectric sensing action of the entry and exit channel environment of the unmanned supermarket is a sensing image directly output by the image sensing component of the image sensing device during a certain photoelectric sensing before the image sensing device outputs the entry and exit sensing image, and also obtains each gradient value corresponding to each pixel point of the background imaging area of ​​the typical processed image, and obtains each gradient value corresponding to each pixel point of the background imaging area of ​​the entry and exit sensing image, thereby providing key basic data for subsequent intelligent verification. , and using a convolutional neural network after completing a set number of multiple learning operations to intelligently verify whether the entry-exit sensing picture is processed by logarithmic image enhancement in the picture sensing device based on various on-site information corresponding to the entry-exit channels of the unmanned supermarket, various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the typical processing picture, and various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the entry-exit sensing picture, so as to achieve effective verification of the image processing type that has been executed on each received entry-exit sensing picture, and help the video surveillance end to truly understand the original picture content of each entry-exit sensing picture, wherein, in the convolutional neural network after completing a set number of multiple learning operations, the value of the set number is positively correlated with the pixel size of the image sensing component, thereby customizing artificial intelligence models with different structures for different image sensing components.

[0005] According to the present invention, a device for identifying content of monitoring images of unmanned supermarkets is provided, the device comprising: The image sensing device is arranged at the entrance and exit passages of the unmanned supermarket to perform photoelectric sensing on the entrance and exit passage environment of the unmanned supermarket, and is used to obtain and output the corresponding entrance and exit sensing images; The information collection device is used to obtain various on-site information corresponding to the entrance and exit channels of the unmanned supermarket, wherein the various on-site information corresponding to the entrance and exit channels of the unmanned supermarket is the channel width, channel length and number of unmanned checkout devices of the entrance and exit channels of the unmanned supermarket; An image extraction device is connected to the image sensing device, and is used to obtain an original image obtained by the image sensing device in a certain historical photoelectric sensing action on the environment of the entrance and exit passage of the unmanned supermarket, and perform logarithmic image enhancement processing on the original image to obtain a corresponding typical processed image, wherein the original image obtained by the image sensing device in a certain historical photoelectric sensing action on the environment of the entrance and exit passage of the unmanned supermarket is a sensing image directly output by the image sensing component of the image sensing device during a certain photoelectric sensing before the image sensing device outputs the entrance and exit sensing image; An intelligent verification device is connected to the information acquisition device and the image extraction device, respectively, and is used to obtain each gradient value corresponding to each pixel point of the background imaging area of ​​the typical processing picture, and obtain each gradient value corresponding to each pixel point of the background imaging area of ​​the entry-exit sensing picture, and intelligently verify whether the entry-exit sensing picture is obtained by logarithmic image enhancement processing of the original picture corresponding to the entry-exit sensing picture in the picture sensing device based on various on-site information corresponding to the entry-exit channel of the unmanned supermarket, each gradient value corresponding to each pixel point of the background imaging area of ​​the typical processing picture, and each gradient value corresponding to each pixel point of the background imaging area of ​​the entry-exit sensing picture; A liquid crystal playback device, connected to the intelligent verification device, for displaying the intelligent verification result upon receipt thereof; Wherein, based on various on-site information corresponding to the entrance and exit channels of the unmanned supermarket, various gradient values ​​corresponding to various pixels in the background imaging area of ​​the typical processing image, and various gradient values ​​corresponding to various pixels in the background imaging area of ​​the entrance and exit sensing image, intelligently verifying whether the entrance and exit sensing image is obtained in the image sensing device by logarithmic image enhancement processing of the original image corresponding to the entrance and exit sensing image, includes: performing the intelligent verification using a convolutional neural network that has completed a set number of multiple learning operations; Among them, based on various on-site information corresponding to the entry and exit channels of the unmanned supermarket, various gradient values ​​corresponding to various pixel points in the background imaging area of ​​the typical processing picture, and various gradient values ​​corresponding to various pixel points in the background imaging area of ​​the entry and exit sensing picture, intelligent verification of whether the entry and exit sensing picture is obtained by logarithmic image enhancement processing of the original picture corresponding to the entry and exit sensing picture in the picture sensing device also includes: the value of the set number is positively correlated with the pixel size of the image sensing component.

[0006] It can be seen that the present invention has at least the following four significant substantive features: First, an original picture obtained by a certain historical photoelectric sensing action of the picture sensing device on the environment of the entrance and exit passage of the unmanned supermarket is obtained, and a logarithmic image enhancement process is performed on the original picture to obtain a corresponding typical processed picture, wherein the original picture obtained by the picture sensing device on the environment of the entrance and exit passage of the unmanned supermarket is a sensing image directly output by the image sensing component of the picture sensing device during a certain photoelectric sensing before the picture sensing device outputs the entrance and exit sensing picture; Second: obtain the gradient values ​​corresponding to each pixel point in the background imaging area of ​​the typical processing screen, and obtain the gradient values ​​corresponding to each pixel point in the background imaging area of ​​the in-and-out sensing screen, so as to provide key basic data for subsequent intelligent verification; Third: using a convolutional neural network that has completed a set number of multiple learning operations to intelligently verify whether the entry-exit sensing picture has been subjected to logarithmic image enhancement processing in the picture sensing device from the original picture corresponding to the entry-exit sensing picture based on various on-site information corresponding to the entry-exit channels of the unmanned supermarket, various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the typical processing picture, and various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the entry-exit sensing picture, so as to effectively verify the type of image processing that has been performed on each received entry-exit sensing picture, and help the video surveillance end to truly understand the original picture content of each entry-exit sensing picture; Fourth, in the convolutional neural network after completing a set number of multiple learning operations, the value of the set number is positively correlated with the pixel size of the image sensor component, thereby customizing artificial intelligence models with different structures for different image sensor components.

[0007] The unmanned supermarket monitoring screen content recognition device of the present invention operates stably and monitors reliably. Since a neural network can be used to intelligently verify whether the entry and exit sensing screen in the screen sensing device has undergone logarithmic image enhancement processing based on various on-site information of the unmanned supermarket and various visual contents, effective verification of the image processing type that has been performed on the entry and exit sensing screen is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 1 is an internal structure diagram of a device for identifying contents of surveillance images in an unmanned supermarket according to a first embodiment of the present invention.

[0009] Figure 2 1 is an internal structure diagram of a device for identifying contents of surveillance images in an unmanned supermarket according to a second embodiment of the present invention.

[0010] Figure 3 1 is an internal structure diagram of an unmanned supermarket monitoring picture content recognition device according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0011] The implementation scheme of the unmanned supermarket monitoring screen content recognition device of the present invention will be described in detail with reference to the accompanying drawings.

[0012] Figure 1 The internal structure diagram of the unmanned supermarket monitoring screen content recognition device according to the first embodiment of the present invention is shown, and the device includes: The image sensing device is arranged at the entrance and exit passages of the unmanned supermarket to perform photoelectric sensing on the entrance and exit passage environment of the unmanned supermarket, and is used to obtain and output the corresponding entrance and exit sensing images; For example, the image sensing device is arranged at the entrance and exit passage of the unmanned supermarket to perform photoelectric sensing on the entrance and exit passage environment of the unmanned supermarket, and is used to obtain and output the corresponding entrance and exit sensing image, including: the image sensing device has a built-in positioning component, which is used to provide positioning data at the entrance and exit passage of the unmanned supermarket; The information collection device is used to obtain various on-site information corresponding to the entrance and exit channels of the unmanned supermarket, wherein the various on-site information corresponding to the entrance and exit channels of the unmanned supermarket is the channel width, channel length and number of unmanned checkout devices of the entrance and exit channels of the unmanned supermarket; An image extraction device is connected to the image sensing device, and is used to obtain an original image obtained by the image sensing device in a certain historical photoelectric sensing action on the environment of the entrance and exit passage of the unmanned supermarket, and perform logarithmic image enhancement processing on the original image to obtain a corresponding typical processed image, wherein the original image obtained by the image sensing device in a certain historical photoelectric sensing action on the environment of the entrance and exit passage of the unmanned supermarket is a sensing image directly output by the image sensing component of the image sensing device during a certain photoelectric sensing before the image sensing device outputs the entrance and exit sensing image; An intelligent verification device is connected to the information acquisition device and the image extraction device, respectively, and is used to obtain each gradient value corresponding to each pixel point of the background imaging area of ​​the typical processing picture, and obtain each gradient value corresponding to each pixel point of the background imaging area of ​​the entry-exit sensing picture, and intelligently verify whether the entry-exit sensing picture is obtained by logarithmic image enhancement processing of the original picture corresponding to the entry-exit sensing picture in the picture sensing device based on various on-site information corresponding to the entry-exit channel of the unmanned supermarket, each gradient value corresponding to each pixel point of the background imaging area of ​​the typical processing picture, and each gradient value corresponding to each pixel point of the background imaging area of ​​the entry-exit sensing picture; A liquid crystal playback device, connected to the intelligent verification device, for displaying the intelligent verification result upon receipt thereof; Wherein, based on various on-site information corresponding to the entrance and exit channels of the unmanned supermarket, various gradient values ​​corresponding to various pixels in the background imaging area of ​​the typical processing image, and various gradient values ​​corresponding to various pixels in the background imaging area of ​​the entrance and exit sensing image, intelligently verifying whether the entrance and exit sensing image is obtained in the image sensing device by logarithmic image enhancement processing of the original image corresponding to the entrance and exit sensing image, includes: performing the intelligent verification using a convolutional neural network that has completed a set number of multiple learning operations; Wherein, based on various on-site information corresponding to the entrance and exit channels of the unmanned supermarket, various gradient values ​​corresponding to various pixels in the background imaging area of ​​the typical processing image, and various gradient values ​​corresponding to various pixels in the background imaging area of ​​the entrance and exit sensing image, intelligently verifying whether the entrance and exit sensing image is obtained in the image sensing device by the original image corresponding to the entrance and exit sensing image through logarithmic image enhancement processing also includes: the value of the set number is positively correlated with the pixel size of the image sensing component; Among them, based on various on-site information corresponding to the entry and exit channels of the unmanned supermarket, various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the typical processing picture, and various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the entry and exit sensing picture, intelligent verification of whether the entry and exit sensing picture is obtained by logarithmic image enhancement processing of the original picture corresponding to the entry and exit sensing picture in the picture sensing device also includes: inputting various on-site information corresponding to the entry and exit channels of the unmanned supermarket, various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the typical processing picture, and various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the entry and exit sensing picture into the convolutional neural network after completing a set number of multiple learning operations.

[0013] Figure 2 1 is an internal structure diagram of a device for identifying contents of surveillance images in an unmanned supermarket according to a second embodiment of the present invention.

[0014] exist Figure 2 In, with Figure 1 Differently, the unmanned supermarket monitoring picture content recognition device shown in the second embodiment of the present invention may also include: A parameter configuration device, connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device, respectively, for providing the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device with the parameter configuration services required by each of them; The parameter configuration device is connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively, and is used to provide the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device with the parameter configuration services required by each device respectively, including: the parameter configuration device uses an IIC configuration bus to provide the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device with the parameter configuration services required by each device respectively; The parameter configuration device uses the IIC configuration bus to provide the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device with the required parameter configuration services respectively, including: the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device have different IIC configuration addresses respectively; And wherein, the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively have different IIC configuration addresses, including: the different IIC configuration addresses respectively have by the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device are in binary value representation mode; And wherein, the different IIC configuration addresses respectively possessed by the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device are in a binary numerical representation mode, including: the byte lengths of the different IIC configuration addresses respectively possessed by the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device are equal.

[0015] Figure 3 1 is an internal structure diagram of an unmanned supermarket monitoring picture content recognition device according to a third embodiment of the present invention.

[0016] exist Figure 3 In, with Figure 1 Differently, the unmanned supermarket monitoring picture content recognition device shown in the third embodiment of the present invention may also include: A positioning operation device, connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device, respectively, for providing positioning services to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively; Wherein, the positioning operation device is respectively connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device, and is used to provide positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively, including: the positioning operation device uses a GPS positioning mechanism to provide GPS positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively; And wherein, the positioning operation device is respectively connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device, and is used to provide positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively, including: the positioning operation device adopts the Beidou positioning mechanism to provide Beidou positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively.

[0017] In addition, in the unmanned supermarket monitoring image content recognition device, based on various on-site information corresponding to the entry and exit channels of the unmanned supermarket, various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the typical processing image, and various gradient values ​​corresponding to each pixel point in the background imaging area of ​​the entry and exit sensing image, intelligent verification of whether the entry and exit sensing image in the image sensing device is obtained by logarithmic image enhancement processing of the original image corresponding to the entry and exit sensing image also includes: running the convolutional neural network after completing a set number of multiple learning operations to obtain a verification mark output by the convolutional neural network after completing a set number of multiple learning operations, indicating whether the entry and exit sensing image in the image sensing device is obtained by logarithmic image enhancement processing of the original image corresponding to the entry and exit sensing image.

[0018] Although the above description refers to the preferred design, the preferred design may be further modified within the spirit and scope of the present invention. Therefore, this application is intended to cover any changes, uses or adjustments made to the preferred design using the general principles disclosed herein. Further, this application is intended to cover changes from the present disclosure that are known or customary practices in the relevant art and that fall within the limits of the appended claims.

Claims

1. A device for identifying content of surveillance images in an unmanned supermarket, characterized in that: The device comprises: The image sensing device is arranged at the entrance and exit passages of the unmanned supermarket to perform photoelectric sensing on the entrance and exit passage environment of the unmanned supermarket, and is used to obtain and output corresponding entrance and exit sensing images; The information collection device is used to obtain various on-site information corresponding to the entrance and exit channels of the unmanned supermarket, wherein the various on-site information corresponding to the entrance and exit channels of the unmanned supermarket is the channel width, channel length and number of unmanned checkout devices of the entrance and exit channels of the unmanned supermarket; An image extraction device is connected to the image sensing device, and is used to obtain an original image obtained by the image sensing device in a certain historical photoelectric sensing action on the environment of the entrance and exit passage of the unmanned supermarket, and perform logarithmic image enhancement processing on the original image to obtain a corresponding typical processed image, wherein the original image obtained by the image sensing device in a certain historical photoelectric sensing action on the environment of the entrance and exit passage of the unmanned supermarket is a sensing image directly output by the image sensing component of the image sensing device during a certain photoelectric sensing before the image sensing device outputs the entrance and exit sensing image; An intelligent verification device is connected to the information acquisition device and the image extraction device, respectively, and is used to obtain each gradient value corresponding to each pixel point of the background imaging area of ​​the typical processing picture, and obtain each gradient value corresponding to each pixel point of the background imaging area of ​​the entry-exit sensing picture, and intelligently verify whether the entry-exit sensing picture is obtained by logarithmic image enhancement processing of the original picture corresponding to the entry-exit sensing picture in the picture sensing device based on various on-site information corresponding to the entry-exit channel of the unmanned supermarket, each gradient value corresponding to each pixel point of the background imaging area of ​​the typical processing picture, and each gradient value corresponding to each pixel point of the background imaging area of ​​the entry-exit sensing picture; A liquid crystal playback device, connected to the intelligent verification device, for displaying the intelligent verification result upon receipt thereof; Wherein, based on various on-site information corresponding to the entrance and exit channels of the unmanned supermarket, various gradient values ​​corresponding to various pixels in the background imaging area of ​​the typical processing image, and various gradient values ​​corresponding to various pixels in the background imaging area of ​​the entrance and exit sensing image, intelligently verifying whether the entrance and exit sensing image is obtained in the image sensing device by logarithmic image enhancement processing of the original image corresponding to the entrance and exit sensing image, includes: performing the intelligent verification using a convolutional neural network that has completed a set number of multiple learning operations; Among them, based on various on-site information corresponding to the entry and exit channels of the unmanned supermarket, various gradient values ​​corresponding to various pixel points in the background imaging area of ​​the typical processing picture, and various gradient values ​​corresponding to various pixel points in the background imaging area of ​​the entry and exit sensing picture, intelligent verification of whether the entry and exit sensing picture is obtained by logarithmic image enhancement processing of the original picture corresponding to the entry and exit sensing picture in the picture sensing device also includes: the value of the set number is positively correlated with the pixel size of the image sensing component.

2. The unmanned supermarket monitoring screen content recognition device according to claim 1, characterized in that: Based on various on-site information corresponding to the entry and exit channels of the unmanned supermarket, various gradient values ​​corresponding to various pixel points in the background imaging area of ​​the typical processing picture, and various gradient values ​​corresponding to various pixel points in the background imaging area of ​​the entry and exit sensing picture, intelligent verification of whether the entry and exit sensing picture is obtained in the picture sensing device by logarithmic image enhancement processing of the original picture corresponding to the entry and exit sensing picture also includes: inputting various on-site information corresponding to the entry and exit channels of the unmanned supermarket, various gradient values ​​corresponding to various pixel points in the background imaging area of ​​the typical processing picture, and various gradient values ​​corresponding to various pixel points in the background imaging area of ​​the entry and exit sensing picture into the convolutional neural network after completing a set number of multiple learning operations.

3. The unmanned supermarket monitoring screen content recognition device according to claim 2, characterized in that: The device also includes: A parameter configuration device, connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device, respectively, for providing the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device with the parameter configuration services required by each of them; Among them, the parameter configuration device is respectively connected to the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device, and is used to provide the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device with their respective required parameter configuration services, including: the parameter configuration device uses the IIC configuration bus to provide the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device with their respective required parameter configuration services.

4. The unmanned supermarket monitoring screen content recognition device according to claim 3, characterized in that: The parameter configuration device uses the IIC configuration bus to provide the required parameter configuration services to the intelligent verification device, the information acquisition device, the image extraction device and the LCD playback device respectively, including: the intelligent verification device, the information acquisition device, the image extraction device and the LCD playback device have different IIC configuration addresses respectively.

5. The unmanned supermarket monitoring screen content recognition device according to claim 4, characterized in that: The intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively have different IIC configuration addresses, including: the different IIC configuration addresses of the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device are in binary value representation mode.

6. The unmanned supermarket monitoring screen content recognition device according to claim 5, characterized in that: The different IIC configuration addresses respectively possessed by the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device are represented in a binary value mode, including: the byte lengths of the different IIC configuration addresses respectively possessed by the intelligent verification device, the information acquisition device, the image extraction device and the liquid crystal playback device are equal.

7. The unmanned supermarket monitoring screen content recognition device according to claim 2, characterized in that: The device also includes: The positioning operation device is respectively connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device, and is used to provide positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively.

8. The unmanned supermarket monitoring screen content recognition device according to claim 7, characterized in that: The positioning operation device is respectively connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device, and is used to provide positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively, including: the positioning operation device adopts the GPS positioning mechanism to provide GPS positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively.

9. The unmanned supermarket monitoring screen content recognition device according to claim 7, characterized in that: The positioning operation device is respectively connected to the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device, and is used to provide positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively, including: the positioning operation device adopts the Beidou positioning mechanism to provide Beidou positioning services for the intelligent verification device, the information collection device, the image extraction device and the liquid crystal playback device respectively.

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