Collected image recognition management system suitable for social security card replacement

Abstract

The invention relates to the technical field of social security card management, in particular to a collected image recognition management system suitable for social security card replacement, and is used for solving the problems that a traditional social security card replacement process is low in efficiency and large in workload. The system firstly controls the high-definition camera to rotate and photograph according to the contour position, realizes an automatic alignment function, and can ensure that the face of a social security card changing person is kept in an optimal state during photographing, thereby effectively improving the quality of a picture in a social security card changing process, then performs data acquisition on the picture, obtains a picture selection analysis parameter, and improves the user experience. Then, the photo selection coefficient obtained according to the photo selection analysis parameters can comprehensively measure the quality deviation degree of the photo, the larger the photo selection coefficient is, the higher the quality deviation degree is, and finally the photo which most meets the requirement is screened out, so that the photo quality is improved; the inconvenience of card changing delay or repeated shooting caused by the fact that the photo quality does not conform to the standard is avoided, and the working efficiency and the user experience are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of social security card management, and in particular to a collection image recognition management system suitable for social security card replacement. Background Art

[0002] The traditional social security card replacement process is cumbersome, requiring the cardholder to bring relevant documents to the social security center for manual operation, and the cardholder's facial photo needs to be collected. These photos are usually taken by staff with handheld cameras or smartphones. Faced with many cardholders, each person needs to take multiple photos or retakes to ensure the best photo. This method is not only time-consuming and inefficient, but also prone to problems such as unnatural facial expressions, insufficient lighting or posture deviation, resulting in inconsistent photo quality. In addition, staff also need to spend time checking each photo taken and selecting the final photo that meets the requirements, further increasing the workload.

[0003] How to improve the low efficiency and heavy workload of the traditional social security card replacement process is the key to the present invention. Therefore, it is of great significance to develop a collection image recognition management system suitable for social security card replacement. Summary of the invention

[0004] In order to overcome the above-mentioned technical problems, the purpose of the present invention is to provide an image acquisition and recognition management system suitable for social security card replacement: the contour position is obtained through an automatic alignment module, and an automatic photo instruction is generated according to the contour position, after the automatic photo instruction is received by the automatic photo module, a preset number of photos are continuously taken, and a data acquisition instruction is generated, after the data acquisition instruction is received by the data acquisition module, photo selection analysis parameters for analyzing the photos are obtained, wherein the photo selection analysis parameters include flush information, noise information, pixel information and deviation information, a photo selection coefficient is obtained according to the photo selection analysis parameters through the information processing module, a selected updated photo is obtained according to the photo selection coefficient through the photo selection module, and the selected updated photo is used as the social security card photo for updating and replacing the card, thereby solving the problems of low efficiency and heavy workload in the traditional social security card replacement process.

[0005] The purpose of the present invention can be achieved through the following technical solutions: Applicable to the collection image recognition management system for social security card replacement, including: A data acquisition module, configured to obtain the photo selection analysis parameters of the analyzed photo i after receiving the data acquisition instruction, and send the photo selection analysis parameters to the information processing module; wherein the photo selection analysis parameters include the flush information MC, the noise information ZD, the pixel information XS and the deviation information PC; An information processing module, used for obtaining a photo selection coefficient ZXi according to the photo selection analysis parameter, and sending the photo selection coefficient ZXi to the photo selection module; The specific process of the information processing module obtaining the photo selection coefficient ZXi is as follows: Normalize the fluctuating information MC, the noise information ZD, the pixel information XS and the deviation information PC, and quantize the values ​​of the fluctuating information MC, the noise information ZD, the pixel information XS and the deviation information PC according to a preset photo selection analysis model to obtain a photo selection coefficient ZXi; Among them, the photo selection analysis model is as follows: Where: λ is the preset error adjustment factor, which is set to 0.921; κ1, κ2, κ3 and κ4 are preset weight factors corresponding to the set face difference information MC, noise information ZD, pixel information XS and deviation information PC respectively. κ1, κ2, κ3 and κ4 satisfy κ4>κ3>κ2>κ1>0.859, and κ1=1.03, κ2=1.47, κ3=1.96, κ4=2.38 are taken; The photo selection module is used to obtain the selected update photo according to the photo selection coefficient ZXi, and use the selected update photo as the social security card photo for updating the card.

[0006] As a preferred embodiment of the present invention, the specific process of the data acquisition module acquiring the flushness information MC is as follows: After receiving the data collection instruction, all photos are marked as analysis photos i in sequence, i=1, ..., n, n is a positive integer, i is the number of any analysis photo, and n is the total number of analysis photos; The facial image contour area in the analyzed photo i and the preset reference contour area are obtained, the difference between the two is obtained, and the difference is marked as the facial difference information MC.

[0007] As a preferred embodiment of the present invention, the specific process of the data acquisition module acquiring the noise information ZD is as follows: Get the number of noise points and the total area of ​​noise points in the analyzed photo i, and mark them as noise value ZS and noise surface value ZM respectively, quantify the noise value ZS and noise surface value ZM, extract the values ​​of the noise value ZS and noise surface value ZM, and substitute them into the formula for calculation. The noise point information ZD is obtained; wherein a1 and a2 are preset proportional coefficients corresponding to the set noise value ZS and noise surface value ZM respectively, a1 and a2 satisfy a1+a2=1, 0<a1<a2<1, and a1=0.29 and a2=0.71 are taken.

[0008] As a preferred embodiment of the present invention, the specific process of the data acquisition module acquiring pixel information XS is as follows: The number of pixels in the photo i and the preset number of reference pixels are analyzed to obtain the difference between the two and mark it as pixel information XS.

[0009] As a preferred embodiment of the present invention, the specific process of the data acquisition module acquiring the deviation information PC is as follows: The analyzed photo i is cut into rectangles of preset length and width to obtain several cut areas, the brightness of the cut area and the preset reference brightness are obtained, the difference between the two is obtained, and it is marked as the brightness difference LC, the contrast of the cut area and the preset contrast are obtained, the difference between the two is obtained, and it is marked as the contrast difference DC, the color saturation of the cut area and the preset color saturation are obtained, the difference between the two is obtained, and it is marked as the saturation difference BC, the brightness difference LC, the contrast difference DC and the saturation difference BC are quantified, the values ​​of the brightness difference LC, the contrast difference DC and the saturation difference BC are extracted, and they are substituted into the formula for calculation, according to the formula Get the regional value QY, get the difference between the maximum regional value QY and the minimum regional value QY, and mark it as the regional extreme value QJ, get the average value of all regional values ​​QY, and mark it as the regional average value QP, quantify the regional extreme value QJ and the regional average value QP, extract the values ​​of the regional extreme value QJ and the regional average value QP, and substitute them into the formula for calculation. Deviation information PC is obtained; wherein, e is a mathematical constant, b1, b2 and b3 are respectively the preset proportional coefficients corresponding to the set brightness difference LC, contrast difference DC and saturation difference BC, b1, b2 and b3 satisfy b1+b2+b3=1, 0<b3<b2<b1<1, b1=0.42, b2=0.35, b3=0.23; wherein, c1 and c2 are respectively the preset proportional coefficients corresponding to the set regional extreme value QJ and regional average value QP, c1 and c2 satisfy c1+c2=1, 0<c1<c2<1, c1=0.38, c2=0.62.

[0010] As a preferred implementation of the present invention, the specific process of the photo selection module obtaining the selected updated photo is as follows: All analyzed photos i are sorted in ascending order according to the photo selection coefficient ZXi, and the analyzed photo i at the first position is marked as the selected update photo, and the selected update photo is used as the social security card photo for updating the card.

[0011] As a preferred embodiment of the present invention, the image acquisition and recognition management system applicable to social security card replacement further includes: The automatic alignment module is used to obtain the contour position, generate an automatic photographing instruction according to the contour position, and send the automatic photographing instruction to the automatic photographing module.

[0012] As a preferred embodiment of the present invention, the specific process of the automatic alignment module generating the automatic photographing instruction is as follows: After the person who wants to replace the social security card sits in the preset area, the social security card processing staff clicks the image acquisition button; Obtain the position of the facial image contour of the person who changes the social security card from the display screen, and mark it as the contour position; Compare the contour position with the preset reference contour, and the comparison results are as follows: If the contour position is completely inside the reference contour, an automatic photographing instruction is generated and sent to the automatic photographing module; If the contour position is not completely inside the reference contour, the contour position and the center of gravity of the reference contour are obtained and marked as fixed points and moving points respectively. The high-definition camera is controlled to rotate while the moving point moves toward the fixed point. If the moving point coincides with the fixed point, an automatic photo-taking instruction is generated and sent to the automatic photo-taking module.

[0013] As a preferred embodiment of the present invention, the image acquisition and recognition management system applicable to social security card replacement further includes: The automatic photographing module is used to continuously take a preset number of photos after receiving an automatic photographing instruction, generate a data collection instruction, and send the data collection instruction to the data collection module.

[0014] Beneficial effects of the present invention: The image acquisition recognition management system applicable to social security card replacement of the present invention first controls the rotation and photographing of the high-definition camera according to the contour position, realizes the automatic alignment function, can ensure that the face of the person replacing the social security card is kept in the best state during the photographing, thereby effectively improving the quality of the photo in the process of social security card replacement, and then collects data for the multiple photos taken to obtain the photo selection analysis parameters, and then uses the data analysis technology to obtain the photo selection coefficient according to the photo selection analysis parameters to comprehensively measure the degree of quality deviation of the photo, and the larger the photo selection coefficient, the higher the degree of quality deviation, and finally selects the photos that best meet the requirements, improves the quality of the photos, avoids the inconvenience of card replacement delays or repeated shooting caused by the photo quality not meeting the standards, and significantly improves work efficiency and user experience. At the same time, the system can also reduce manual intervention, reduce the impact of human errors on photo quality, and ensure that each social security card replacement application can get high-quality image support. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 It is a principle block diagram of the image acquisition recognition management system applicable to social security card replacement in the present invention; Figure 2 It is a flow chart of the working method of the collection image recognition management system applicable to social security card replacement in the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Example 1: Please refer to Figure 1 As shown, this embodiment is a collection image recognition management system suitable for social security card replacement, including the following modules: automatic alignment module, automatic photo module, data collection module, information processing module and photo selection module; The automatic alignment module is used to obtain the contour position, generate an automatic photographing instruction according to the contour position, and send the automatic photographing instruction to the automatic photographing module; The automatic photographing module is used to continuously take a preset number of photos after receiving the automatic photographing instruction, generate a data acquisition instruction, and send the data acquisition instruction to the data acquisition module; The data acquisition module is used to obtain the photo selection analysis parameters of the analyzed photo i after receiving the data acquisition instruction, and send the photo selection analysis parameters to the information processing module; wherein the photo selection analysis parameters include the facet information MC, the noise information ZD, the pixel information XS and the deviation information PC; Wherein, the information processing module is used to obtain a photo selection coefficient ZXi according to the photo selection analysis parameter, and send the photo selection coefficient ZXi to the photo selection module; Among them, the photo selection module is used to obtain the selected update photo according to the photo selection coefficient ZXi, and use the selected update photo as the social security card photo for updating and replacing the card.

[0019] Example 2: Please refer to Figure 2 As shown, this embodiment is a working method of a collection image recognition management system applicable to social security card replacement, comprising the following steps: Step 1: The automatic alignment module obtains the contour position, generates an automatic photographing instruction according to the contour position, and sends the automatic photographing instruction to the automatic photographing module; Step 2: After receiving the automatic photographing instruction, the automatic photographing module continuously photographs a preset number of photos, generates a data collection instruction, and sends the data collection instruction to the data collection module; Step 3: After receiving the data acquisition instruction, the data acquisition module obtains the photo selection analysis parameters for analyzing the photo i, wherein the photo selection analysis parameters include the flush information MC, the noise information ZD, the pixel information XS and the deviation information PC, and sends the photo selection analysis parameters to the information processing module; Step 4: The information processing module obtains the photo selection coefficient ZXi according to the photo selection analysis parameter, and sends the photo selection coefficient ZXi to the photo selection module; Step 5: The photo selection module obtains the selected update photo according to the photo selection coefficient ZXi, and uses the selected update photo as the social security card photo for updating the card.

[0020] Embodiment 3: Based on any of the above embodiments, Embodiment 3 of the present invention is an automatic alignment module. The function of the automatic alignment module is to generate an automatic photographing instruction. The specific process is as follows: After the person who wants to replace the social security card sits in the preset area, the social security card processing staff clicks the image acquisition button; The automatic alignment module obtains the position of the facial image contour of the person who changes the social security card from the display screen and marks it as the contour position; The automatic alignment module compares the contour position with the preset reference contour. The comparison results are as follows: If the contour position is completely inside the reference contour, an automatic photographing instruction is generated and sent to the automatic photographing module; If the contour position is not completely inside the reference contour, the contour position and the center of gravity of the reference contour are obtained and marked as fixed points and moving points respectively. The high-definition camera is controlled to rotate while the moving point moves toward the fixed point. If the moving point coincides with the fixed point, an automatic photo-taking instruction is generated and sent to the automatic photo-taking module.

[0021] Embodiment 4: Based on any of the above embodiments, Embodiment 4 of the present invention is an automatic photographing module. The function of the automatic photographing module is to generate a data collection instruction. The specific process is as follows: After receiving the automatic photographing instruction, the automatic photographing module continuously takes a preset number of photos, generates a data collection instruction after the shooting is completed, and sends the data collection instruction to the data collection module.

[0022] Embodiment 5: Based on any of the above embodiments, Embodiment 5 of the present invention is a data acquisition module. The function of the data acquisition module is to obtain photo selection analysis parameters, wherein the photo selection analysis parameters include flush information MC, noise information ZD, pixel information XS and deviation information PC. The specific process is as follows: After receiving the data collection instruction, the data collection module marks all the photos as analysis photos i in sequence, where i=1, ..., n, where n is a positive integer, i is the number of any analysis photo, and n is the total number of analysis photos; The data acquisition module obtains the facial image contour area in the analyzed photo i and the preset reference contour area, obtains the difference between the two, and marks it as facial difference information MC; The data acquisition module obtains the number of noise points and the total area of ​​noise points in the analyzed photo i, and marks them as noise value ZS and noise surface value ZM respectively, quantifies the noise value ZS and noise surface value ZM, extracts the values ​​of the noise value ZS and noise surface value ZM, and substitutes them into the formula for calculation. Obtain noise point information ZD; wherein a1 and a2 are preset proportional coefficients corresponding to the set noise value ZS and the noise surface value ZM, respectively, a1 and a2 satisfy a1+a2=1, 0<a1<a2<1, and a1=0.29 and a2=0.71; The data acquisition module will analyze the number of pixels in the photo i and the preset number of reference pixels, obtain the difference between the two, and mark it as pixel information XS; The data acquisition module will analyze the photo i and cut it into rectangles of preset length and width to obtain several cut areas, obtain the brightness of the cut area and the preset reference brightness, obtain the difference between the two, and mark it as the brightness difference LC, obtain the contrast of the cut area and the preset contrast, obtain the difference between the two, and mark it as the contrast difference DC, obtain the color saturation of the cut area and the preset color saturation, obtain the difference between the two, and mark it as the saturation difference BC, quantify the brightness difference LC, contrast difference DC and saturation difference BC, extract the values ​​of the brightness difference LC, contrast difference DC and saturation difference BC, and substitute them into the formula for calculation. According to the formula Get the regional value QY, get the difference between the maximum regional value QY and the minimum regional value QY, and mark it as the regional extreme value QJ, get the average value of all regional values ​​QY, and mark it as the regional average value QP, quantify the regional extreme value QJ and the regional average value QP, extract the values ​​of the regional extreme value QJ and the regional average value QP, and substitute them into the formula for calculation. Obtain deviation information PC; wherein e is a mathematical constant, b1, b2 and b3 are respectively preset proportional coefficients corresponding to the set brightness difference LC, contrast difference DC and saturation difference BC, b1, b2 and b3 satisfy b1+b2+b3=1, 0<b3<b2<b1<1, b1=0.42, b2=0.35, b3=0.23; wherein c1 and c2 are respectively preset proportional coefficients corresponding to the set regional extreme value QJ and regional average value QP, c1 and c2 satisfy c1+c2=1, 0<c1<c2<1, c1=0.38, c2=0.62; The data acquisition module sends the surface difference information MC, the noise information ZD, the pixel information XS and the deviation information PC to the information processing module.

[0023] Embodiment 6: Based on any of the above embodiments, Embodiment 6 of the present invention is an information processing module. The function of the information processing module is to obtain the photo selection coefficient ZXi. The specific process is as follows: The information processing module normalizes the flush information MC, the noise information ZD, the pixel information XS and the deviation information PC, and quantifies the values ​​of the flush information MC, the noise information ZD, the pixel information XS and the deviation information PC according to a preset photo selection analysis model to obtain a photo selection coefficient ZXi; Among them, the photo selection analysis model is as follows: Where: λ is the preset error adjustment factor, which is set to 0.921; κ1, κ2, κ3 and κ4 are preset weight factors corresponding to the set face difference information MC, noise information ZD, pixel information XS and deviation information PC respectively. κ1, κ2, κ3 and κ4 satisfy κ4>κ3>κ2>κ1>0.859, and κ1=1.03, κ2=1.47, κ3=1.96, κ4=2.38 are taken; The information processing module sends the photo selection coefficient ZXi to the photo selection module.

[0024] Embodiment 7: Based on any of the above embodiments, Embodiment 7 of the present invention is a photo selection module. The function of the photo selection module is to obtain the selected updated photo. The specific process is as follows: The photo selection module sorts all the analyzed photos i according to the photo selection coefficient ZXi from small to large, marks the analyzed photo i at the first position as the selected update photo, and uses the selected update photo as the social security card photo for updating the card.

[0025] Based on the above embodiments 1-7, the working principle of the present invention is as follows: The image acquisition recognition management system applicable to social security card replacement of the present invention obtains the contour position through the automatic alignment module, and generates an automatic photographing instruction according to the contour position, and continuously takes a preset number of photos after receiving the automatic photographing instruction through the automatic photographing module, and generates a data acquisition instruction, and obtains photo selection analysis parameters for analyzing the photos after receiving the data acquisition instruction through the data acquisition module, wherein the photo selection analysis parameters include flush information, noise information, pixel information and deviation information, obtains a photo selection coefficient according to the photo selection analysis parameters through the information processing module, obtains a selected updated photo according to the photo selection coefficient through the photo selection module, and uses the selected updated photo as the social security card photo for updating and replacing the card; The system first controls the rotation and photo-taking of the high-definition camera according to the contour position, realizes the automatic alignment function, and can ensure that the face of the person who changes the social security card is in the best condition during the photo shooting, thereby effectively improving the quality of the photos in the process of changing the social security card. Then, data is collected from multiple photos taken to obtain the photo selection analysis parameters. Then, the photo selection coefficient obtained by data analysis technology based on the photo selection analysis parameters can comprehensively measure the degree of quality deviation of the photos, and the larger the photo selection coefficient, the higher the degree of quality deviation. Finally, the photos that best meet the requirements are selected, the quality of the photos is improved, and the inconvenience of delaying the replacement of the card or repeated shooting due to the failure of the photo quality to meet the standards is avoided, which significantly improves the work efficiency and user experience. At the same time, the system can also reduce manual intervention and reduce the impact of human errors on photo quality, ensuring that each social security card replacement application can be supported by high-quality images.

[0026] The above formulas are all obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions.

[0027] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0028] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined in this application, they shall all fall within the protection scope of the present invention.

Claims

1. A collection image recognition management system applicable to social security card replacement, characterized in that: include: A data acquisition module, configured to obtain the photo selection analysis parameters of the analyzed photo i after receiving the data acquisition instruction, and send the photo selection analysis parameters to the information processing module; wherein the photo selection analysis parameters include the flush information MC, the noise information ZD, the pixel information XS and the deviation information PC; An information processing module, used for obtaining a photo selection coefficient ZXi according to the photo selection analysis parameter, and sending the photo selection coefficient ZXi to the photo selection module; The specific process of the information processing module obtaining the photo selection coefficient ZXi is as follows: Normalize the face difference information MC, the noise information ZD, the pixel information XS and the deviation information PC, and perform quantization operations according to the preset photo selection analysis model to obtain the photo selection coefficient ZXi; Among them, the photo selection analysis model is as follows: Where: λ is the preset error adjustment factor; κ1, κ2, κ3 and κ4 are preset weight factors corresponding to the set face difference information MC, noise information ZD, pixel information XS and deviation information PC respectively; The photo selection module is used to obtain the selected update photo according to the photo selection coefficient ZXi, and use the selected update photo as the social security card photo for updating the card.

2. The image acquisition and recognition management system applicable to social security card replacement according to claim 1 is characterized in that: The specific process of the data acquisition module obtaining the flushness information MC is as follows: After receiving the data collection instruction, all photos are marked as analysis photos i in sequence, i=1, ..., n, n is a positive integer, i is the number of any analysis photo, and n is the total number of analysis photos; The facial image contour area in the analyzed photo i and the preset reference contour area are obtained, the difference between the two is obtained, and the difference is marked as the facial difference information MC.

3. The image acquisition and recognition management system applicable to social security card replacement according to claim 1 is characterized in that: The specific process of the data acquisition module obtaining the noise information ZD is as follows: Get the number of noise points and the total area of ​​noise points in the analyzed photo i, and mark them as the noise value ZS and the noise surface value ZM respectively. The noise value ZS and the noise surface value ZM are quantified according to the formula The noise point information ZD is obtained; wherein a1 and a2 are preset proportional coefficients corresponding to the set noise value ZS and noise surface value ZM respectively.

4. The image acquisition and recognition management system applicable to social security card replacement according to claim 1 is characterized in that: The specific process of the data acquisition module acquiring pixel information XS is as follows: The number of pixels in the photo i and the preset number of reference pixels are analyzed to obtain the difference between the two and mark it as pixel information XS.

5. The image acquisition and recognition management system applicable to social security card replacement according to claim 1 is characterized in that: The specific process of the data acquisition module obtaining the deviation information PC is as follows: The analyzed photo i is cut into rectangles of preset length and width to obtain several cut areas, the brightness of the cut area and the preset reference brightness are obtained, the difference between the two is obtained, and it is marked as the brightness difference LC, the contrast of the cut area and the preset contrast are obtained, the difference between the two is obtained, and it is marked as the contrast difference DC, the color saturation of the cut area and the preset color saturation are obtained, the difference between the two is obtained, and it is marked as the saturation difference BC, the brightness difference LC, the contrast difference DC and the saturation difference BC are quantified, and according to the formula Get the regional value QY, get the difference between the maximum regional value QY and the minimum regional value QY, and mark it as the regional extreme value QJ, get the average value of all regional values ​​QY, and mark it as the regional average value QP, quantify the regional extreme value QJ and the regional average value QP, and use the formula Obtain deviation information PC; wherein e is a mathematical constant, b1, b2 and b3 are respectively preset proportional coefficients corresponding to the set brightness difference LC, contrast difference DC and saturation difference BC; wherein c1 and c2 are respectively preset proportional coefficients corresponding to the set regional extreme value QJ and regional average value QP.

6. The image acquisition and recognition management system applicable to social security card replacement according to claim 1 is characterized in that: The specific process of the photo selection module obtaining the selected updated photo is as follows: All analyzed photos i are sorted in ascending order according to the photo selection coefficient ZXi, and the analyzed photo i at the first position is marked as the selected update photo, and the selected update photo is used as the social security card photo for updating the card.

7. The image acquisition and recognition management system applicable to social security card replacement according to claim 1 is characterized in that: Also includes: The automatic alignment module is used to obtain the contour position, generate an automatic photographing instruction according to the contour position, and send the automatic photographing instruction to the automatic photographing module.

8. The image acquisition and recognition management system applicable to social security card replacement according to claim 7 is characterized in that: The specific process of the automatic alignment module generating the automatic photo taking instruction is as follows: After the person who wants to replace the social security card sits in the preset area, the social security card processing staff clicks the image acquisition button; Obtain the position of the facial image contour of the person who changes the social security card from the display screen, and mark it as the contour position; Compare the contour position with the preset reference contour, and the comparison results are as follows: If the contour position is completely inside the reference contour, an automatic photographing instruction is generated and sent to the automatic photographing module; If the contour position is not completely inside the reference contour, the contour position and the center of gravity of the reference contour are obtained and marked as fixed points and moving points respectively. The high-definition camera is controlled to rotate while the moving point moves toward the fixed point. If the moving point coincides with the fixed point, an automatic photo-taking instruction is generated and sent to the automatic photo-taking module.

9. The image acquisition and recognition management system applicable to social security card replacement according to claim 1, characterized in that: Also includes: The automatic photographing module is used to continuously take a preset number of photos after receiving an automatic photographing instruction, generate a data collection instruction, and send the data collection instruction to the data collection module.

Images