An automated camera debugging system based on a three-axis electric support

Abstract

The present invention discloses an automated camera debugging system based on a three-axis electric bracket, specifically related to the technical field of camera correction control. It includes a camera vehicle identification number module, a camera vehicle identification data acquisition module, a camera identification angle control module, a camera image data processing module, a camera automated debugging effect feedback module, and a bracket automated debugging effect evaluation module. The present invention collects the vehicle identification data of the vehicle recognized by the camera on the three-axis electric bracket, calculates the camera angle correction index and the license plate recognition efficiency index, further analyzes to obtain the camera debugging effectiveness feedback coefficient of the three-axis electric bracket, and by real-time monitoring the angle control index, calculates and monitors the effective proportion of the recognition of the vertical and horizontal angles of the camera, so as to accurately judge whether the camera needs to adjust the angle. The whole process realizes a high degree of automation and intelligence, and improves the passing efficiency of vehicles by optimizing the recognition algorithm and the barrier control system.

Description

Technical Field

[0001] The present invention relates to the technical field of camera calibration control, and more specifically, the present invention relates to an automated camera debugging system based on a three-axis electric bracket. Background Art

[0002] With the rapid development of technology, cameras, as key devices for image acquisition, are increasingly widely used in various fields. By utilizing image processing, machine vision, and automation control technologies, the debugging and optimization of camera devices are realized, thereby improving the stability of imaging quality.

[0003] Existing automated cameras, as one of the core devices for vehicle identification management, capture vehicle license plate information through high-definition cameras and use advanced image recognition algorithms to quickly and accurately identify license plates, thereby realizing functions such as rapid vehicle entry and exit, automatic billing, and unattended operation. These processes do not require manual intervention, which not only improves vehicle management efficiency but also reduces labor costs. Therefore, vehicle identification technology has gradually achieved automation and intelligence.

[0004] However, in actual use, there are still some disadvantages. For example, when existing barrier gate recognition integrated machines identify vehicle information, professional technical personnel are required to conduct detailed on-site debugging to ensure that the camera can capture the clearest and most comprehensive vehicle images, which increases human resource costs, and the manual debugging cycle is long and the efficiency is low.

[0005] The camera angle debugging of existing barrier gate recognition integrated machines lacks real-time debugging effect evaluation criteria and methods, and it is impossible to provide an objective basis for debugging through quantitative evaluation results to achieve automatic debugging and optimization of the camera and reach the best recognition effect. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an automated camera debugging system based on a three-axis electric bracket to solve the problems proposed in the above background art.

[0007] To achieve the above object, the present invention provides the following technical solution: An automated camera debugging system based on a three-axis electric bracket, comprising:

[0008] A camera vehicle identification numbering module: used to count the vehicles identified by the cameras installed on the three-axis electric bracket and number the vehicles identified by the cameras on the three-axis electric bracket.

[0009] A camera vehicle identification data acquisition module: used to collect the vehicle identification data of the vehicles identified by the cameras on the three-axis electric bracket. The camera vehicle identification data acquisition module includes a camera identification angle control unit and a license plate recognition efficiency optimization unit, and the vehicle identification data includes camera identification angle data and license plate recognition efficiency data.

[0010] Camera recognition angle control module: It is used to receive the vehicle recognition data transmitted by the camera vehicle recognition data acquisition module, calculate the camera angle correction index of the camera for recognizing the vehicle on the three-axis electric bracket according to the camera recognition angle control unit, and send the camera recognition angle adjustment command on the three-axis electric bracket to the corresponding angle adjustment terminal for corresponding adjustment.

[0011] Camera image data processing module: It is used to receive the vehicle recognition data transmitted by the camera vehicle recognition data acquisition module, and calculate the license plate recognition efficiency index of the camera for recognizing the vehicle on the three-axis electric bracket according to the license plate recognition efficiency optimization unit.

[0012] Camera automatic debugging effect feedback module: It is used to calculate the camera debugging effectiveness feedback coefficient of the three-axis electric bracket according to the camera angle correction index and the license plate recognition efficiency index of the camera for recognizing the vehicle on the three-axis electric bracket.

[0013] Bracket automatic debugging effect evaluation module: It is used to obtain the camera debugging effectiveness feedback coefficient of the three-axis electric bracket, compare it with the preset camera debugging effectiveness feedback coefficient, and process it.

[0014] Preferably, the specific of the camera vehicle recognition number module is:

[0015] The vehicles recognized by the camera installed on the three-axis electric bracket are numbered uniquely, and the vehicles recognized by the camera on the three-axis electric bracket are numbered 1, 2,... in sequence ,... .

[0016] Preferably, the specific of the camera vehicle recognition data acquisition module is:

[0017] Camera recognition angle control unit: Collect the license plate recognition distance, camera angle, and camera height from the ground of the camera for recognizing the vehicle on the three-axis electric bracket, and mark them as , , , where = 1, 2,... , represents the number of the th vehicle;

[0018] License plate recognition efficiency optimization unit: Collect the license plate recognition center point coordinates, camera ideal imaging point coordinates, and license plate recognition time of the camera for recognizing the vehicle on the three-axis electric bracket, and mark them as , , .

[0019] Preferably, the camera recognition angle control module is specifically:

[0020] Step S01: Receive the camera angle transmitted by the camera vehicle recognition data acquisition module, extract the camera pitch angle and the camera yaw angle, and mark them as , ;

[0021] Step S02: From the formula: , obtain the camera vertical angle control index, where represents the camera vertical angle control index of the th vehicle, represents the camera ground clearance of the th vehicle, represents the camera pitch angle of the th vehicle;

[0022] Step S03: From the formula: , obtain the camera horizontal angle control index, where represents the camera horizontal angle control index of the th vehicle, represents the camera ground clearance of the th vehicle, represents the camera yaw angle of the th vehicle;

[0023] Step S04: The calculation formula of the camera angle correction index is:

[0024] , where represents the camera angle correction index of the th vehicle, represents the effective vertical recognition ratio of the camera for the vehicle recognized by the camera on the three-axis electric support, represents the effective horizontal recognition ratio of the camera for the vehicle recognized by the camera on the three-axis electric support, represents the license plate recognition distance of the th vehicle; represents the th vehicle;

[0025] Step S05: According to the effective vertical recognition ratio of the camera on the three-axis electric support for recognizing the vehicle, if the effective vertical recognition ratio of the camera on the three-axis electric support for recognizing the vehicle is greater than 1, it indicates that the camera vertical angle on the three-axis electric support needs to be adjusted, and then send a camera vertical recognition angle adjustment instruction to the three-axis electric support for adjustment;

[0026] Step S06: Identify the effective proportion of camera horizontal recognition of the vehicle based on the camera on the three-axis electric bracket. If the effective proportion of camera horizontal recognition of the vehicle identified by the camera on the three-axis electric bracket is greater than 1, it indicates that the horizontal angle of the camera on the three-axis electric bracket needs to be adjusted. Then, send a camera horizontal recognition angle adjustment instruction to the three-axis electric bracket for adjustment.

[0027] Preferably, the camera image data processing module is specifically:

[0028] Step S01: Receive the license plate recognition center point coordinates and the ideal imaging point coordinates of the camera transmitted by the camera vehicle recognition data acquisition module;

[0029] Step S02: Calculate the camera positioning control accuracy. The specific calculation formula is:

[0030] , where represents the camera positioning control accuracy of the th vehicle, represents the x-axis coordinate of the license plate recognition center point of the th vehicle, represents the y-axis coordinate of the license plate recognition center point of the th vehicle, represents the x-axis coordinate of the ideal imaging point of the camera, represents the y-axis coordinate of the ideal imaging point of the camera;

[0031] Step S03: The calculation formula of the license plate recognition efficiency index is:

[0032] , where represents the license plate recognition efficiency index of the th vehicle, represents the maximum value of the camera positioning control accuracy, represents the minimum value of the camera positioning control accuracy, represents the license plate recognition time of the th vehicle, represents the license plate recognition time of the th vehicle, represents the license plate recognition time of the th vehicle.

[0033] Preferably, the calculation formula of the camera debugging effectiveness feedback coefficient is:

[0034] , where represents the camera debugging effectiveness feedback coefficient, represents the The effective vertical recognition ratio of the cameras of a vehicle, denoted as the effective horizontal recognition ratio of the cameras of the nth vehicle, the license plate recognition efficiency index of the nth vehicle, denoted as the preset effective vertical recognition ratio of the cameras, denoted as the preset effective horizontal recognition ratio of the cameras, denoted as the preset license plate

[0035] preferably, the specific evaluation method of the

[0036] bracket automatic debugging effect evaluation module is:

[0037] The technical effects and advantages of the present

[0038] 1. The present invention provides an automatic camera

[0039] 2. The present invention provides an automated camera debugging system based on a three-axis electric bracket. By using a camera recognition angle control module, the camera vertical angle control index is calculated, and further the effective proportion of camera vertical recognition is analyzed. According to the effective proportion of camera vertical recognition of the vehicle by the camera on the three-axis electric bracket, if the effective proportion of camera vertical recognition of the vehicle by the camera on the three-axis electric bracket is greater than 1, it indicates that the vertical angle of the camera on the three-axis electric bracket needs to be adjusted. Then, a camera vertical recognition angle adjustment command is sent to the three-axis electric bracket for adjustment. Similarly, the horizontal angle of the camera is adjusted. By real-time monitoring of the angle adjustment index and calculating and monitoring the effective proportion of camera vertical and horizontal angle recognition, it can accurately determine whether the camera needs to adjust the angle, improving the efficiency and accuracy of vehicle recognition. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the system module process connection of the present invention.

[0041] Figure 2 It is a schematic diagram of the structure of the camera vehicle recognition data acquisition module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Please refer to Figure 1 As shown, the present invention provides an automated camera debugging system based on a three-axis electric bracket, including a camera vehicle recognition number module, a camera vehicle recognition data acquisition module, a camera recognition angle control module, a camera image data processing module, a camera automated debugging effect feedback module, and a bracket automated debugging effect evaluation module.

[0044] The camera vehicle recognition number module is connected to the camera vehicle recognition data acquisition module. The camera vehicle recognition data acquisition module is connected to the camera recognition angle control module and the camera image data processing module. The camera recognition angle control module and the camera image data processing module are connected to the camera automated debugging effect feedback module. The camera automated debugging effect feedback module is connected to the bracket automated debugging effect evaluation module.

[0045] The camera vehicle recognition number module is used to count the vehicles recognized by the cameras installed on the three-axis electric bracket and number the vehicles recognized by the cameras on the three-axis electric bracket.

[0046] In a possible design, the camera vehicle identification number module specifically is as follows:

[0047] Identify vehicles through the cameras installed on the three-axis electric bracket, assign a unique number to each identified vehicle, and sequentially number the vehicles identified by the cameras on the three-axis electric bracket as 1, 2,... ,... .

[0048] Please refer to Figure 2 As shown, the camera vehicle identification data acquisition module is used to acquire vehicle identification data of the vehicles identified by the cameras on the three-axis electric bracket. The camera vehicle identification data acquisition module includes a camera identification angle control unit and a license plate recognition efficiency optimization unit. The vehicle identification data includes camera identification angle data and license plate recognition efficiency data.

[0049] In a possible design, the camera vehicle identification data acquisition module specifically is as follows:

[0050] Camera identification angle control unit: Acquire the license plate recognition distance, camera angle, and camera height from the ground of the cameras on the three-axis electric bracket for identifying vehicles, and mark them as , , , where = 1, 2,... , represents the number of the th vehicle;

[0051] License plate recognition efficiency optimization unit: Acquire the license plate recognition center point coordinates, camera ideal imaging point coordinates, and license plate recognition time of the cameras on the three-axis electric bracket for identifying vehicles, and mark them as , , .

[0052] In this embodiment, it should be specifically noted that the specific acquisition method of the license plate recognition center point coordinates is as follows:

[0053] Step S01: Obtain the initial license plate image, and perform preprocessing operations on the initial license plate image including but not limited to grayscale conversion, binarization, and denoising;

[0054] Step S02: Crop the final license plate image according to the position and size of the license plate in the initial license plate image, and obtain the width and height of the final license plate image;

[0055] Step S03: Take the upper left corner of the final license plate image as the origin, with the positive x-axis to the right and the positive y-axis downward. The calculation method of the license plate recognition center point coordinates is: the x value is half of the width, the y value is half of the height, and the coordinate values are taken as integers.

[0056] The camera recognition angle control module is used to receive the vehicle recognition data transmitted by the camera vehicle recognition data acquisition module, calculate the camera angle correction index for the camera to recognize the vehicle on the three-axis electric bracket according to the camera recognition angle control unit, and send the camera recognition angle regulation instruction on the three-axis electric bracket to the corresponding angle regulation terminal for corresponding regulation.

[0057] In a possible design, the camera recognition angle control module is specifically:

[0058] Step S01: Receive the camera angle transmitted by the camera vehicle recognition data acquisition module, extract the camera pitch angle and the camera yaw angle, and mark them as 、 ;

[0059] Step S02: From the formula: , obtain the camera vertical angle control index, where represents the camera vertical angle control index of the th vehicle, represents the camera ground clearance of the th vehicle, represents the camera pitch angle of the th vehicle;

[0060] Step S03: From the formula: , obtain the camera horizontal angle control index, where represents the camera horizontal angle control index of the th vehicle, represents the camera ground clearance of the th vehicle, represents the camera yaw angle of the th vehicle;

[0061] Step S04: The calculation formula of the camera angle correction index is:

[0062] , where represents the camera angle correction index of the th vehicle, represents the effective vertical recognition ratio of the camera of the th vehicle, represents the effective horizontal recognition ratio of the camera of the th vehicle, represents the license plate recognition distance of the th vehicle;

[0063] Step S05: Identify the effective vertical recognition ratio of the vehicle's camera based on the camera on the three-axis electric support. If the effective vertical recognition ratio of the vehicle's camera identified by the camera on the three-axis electric support is greater than 1, it indicates that the vertical angle of the camera on the three-axis electric support needs to be adjusted. Then, send a camera vertical recognition angle adjustment command to the three-axis electric support for adjustment;

[0064] Step S06: Identify the effective horizontal recognition ratio of the vehicle's camera based on the camera on the three-axis electric support. If the effective horizontal recognition ratio of the vehicle's camera identified by the camera on the three-axis electric support is greater than 1, it indicates that the horizontal angle of the camera on the three-axis electric support needs to be adjusted. Then, send a camera horizontal recognition angle adjustment command to the three-axis electric support for adjustment.

[0065] In this embodiment, it should be specifically noted that the angle adjustment terminal in the camera recognition angle control module is a three-axis electric support.

[0066] The camera image data processing module is used to receive the vehicle recognition data transmitted by the camera vehicle recognition data acquisition module, and calculate the license plate recognition efficiency index of the vehicle's camera on the three-axis electric support according to the license plate recognition efficiency optimization unit.

[0067] In a possible design, the camera image data processing module is specifically:

[0068] Step S01: Receive the license plate recognition center point coordinates and the ideal imaging point coordinates of the camera transmitted by the camera vehicle recognition data acquisition module;

[0069] Step S02: Calculate the camera positioning control accuracy. The specific calculation formula is:

[0070] , where represents the camera positioning control accuracy of the th vehicle, represents the x-axis coordinate of the license plate recognition center point of the th vehicle, represents the y-axis coordinate of the license plate recognition center point of the th vehicle, represents the x-axis coordinate of the ideal imaging point of the camera, represents the y-axis coordinate of the ideal imaging point of the camera;

[0071] Step S03: The calculation formula of the license plate recognition efficiency index is:

[0072] , where represents the license plate recognition efficiency index of the th vehicle, Denoted as the maximum value of the camera positioning control accuracy, Denoted as the minimum value of the camera positioning control accuracy, Denoted as the license plate recognition time of the th vehicle, Denoted as the license plate recognition time of the th vehicle, Denoted as the license plate recognition time of the th vehicle.

[0073] The camera automatic debugging effect feedback module is used to calculate the camera debugging effectiveness feedback coefficient of the three-axis electric bracket according to the camera angle correction index and license plate recognition efficiency index for identifying vehicles by the camera on the three-axis electric bracket.

[0074] In a possible design, the calculation formula of the camera debugging effectiveness feedback coefficient is:

[0075] , where Denoted as the camera debugging effectiveness feedback coefficient, Denoted as the effective vertical recognition ratio of the camera of the th vehicle, Denoted as the effective horizontal recognition ratio of the camera of the th vehicle, Denoted as the license plate recognition efficiency index of the th vehicle, Denoted as the preset effective vertical recognition ratio of the camera, Denoted as the preset effective horizontal recognition ratio of the camera, Denoted as the preset license plate recognition efficiency index, Denoted as the weight coefficient of the license plate recognition efficiency index, and n denotes the number of vehicles.

[0076] The bracket automatic debugging effect evaluation module is used to obtain the camera debugging effectiveness feedback coefficient of the three-axis electric bracket, compare it with the preset camera debugging effectiveness feedback coefficient, and process it.

[0077] In a possible design, the specific evaluation method of the bracket automatic debugging effect evaluation module is:

[0078] Obtain the camera debugging effectiveness feedback coefficient of the three-axis electric bracket, compare it with the preset camera debugging effectiveness feedback coefficient. If the camera debugging effectiveness feedback coefficient of a certain three-axis electric bracket is greater than the preset camera debugging effectiveness feedback coefficient, it indicates that the camera debugging and recognition effect of this three-axis electric bracket does not meet the expectation, and a maintenance instruction for the three-axis electric bracket should be sent to the management personnel. Otherwise, it indicates that the camera debugging and recognition effect of this three-axis electric bracket meets the expectation.

[0079] In this embodiment, it should be specifically noted that the present invention collects vehicle identification data of a vehicle by a camera on a three-axis electric bracket, calculates a camera angle correction index for the camera on the three-axis electric bracket to identify the vehicle according to the camera identification angle control unit, calculates a license plate recognition efficiency index for the camera on the three-axis electric bracket to identify the vehicle according to the license plate recognition efficiency optimization unit, further analyzes to obtain a camera debugging effectiveness feedback coefficient of the three-axis electric bracket, and compares it with a preset camera debugging effectiveness feedback coefficient. If the camera debugging effectiveness feedback coefficient of a certain three-axis electric bracket is greater than the preset camera debugging effectiveness feedback coefficient, it indicates that the camera debugging and recognition effect of this three-axis electric bracket does not meet the expectation, and a three-axis electric bracket maintenance instruction should be sent to the management personnel. On the contrary, it indicates that the camera debugging and recognition effect of this three-axis electric bracket meets the expectation. The whole process realizes a high degree of automation and intelligence, reduces the need for manual intervention, and improves the passing efficiency of vehicles by optimizing the recognition algorithm and the gate control system.

[0080] In this embodiment, it should be specifically noted that by using the camera identification angle control module, a camera vertical angle control index is calculated, and further analyzed to obtain the effective proportion of vertical camera recognition. According to the effective proportion of vertical camera recognition of the camera on the three-axis electric bracket to identify the vehicle, if the effective proportion of vertical camera recognition of the camera on the three-axis electric bracket to identify the vehicle is greater than 1, it indicates that the vertical angle of the camera on this three-axis electric bracket needs to be adjusted, and a camera vertical recognition angle adjustment instruction is sent to the three-axis electric bracket for adjustment. Similarly, the horizontal angle of the camera is adjusted. By real-time monitoring the angle adjustment index and calculating and monitoring the effective proportion of vertical and horizontal camera recognition, it can accurately judge whether the camera needs to adjust the angle, improving the efficiency and accuracy of vehicle identification.

[0081] Finally: The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An automated camera debugging system based on a three-axis electric bracket, characterized in that, Including: Camera Vehicle Identification Number Module: Used to count the vehicles identified by the cameras installed on the three-axis electric bracket and number the vehicles identified by the cameras on the three-axis electric bracket; Camera Vehicle Identification Data Acquisition Module: Used to collect the vehicle identification data of all numbered vehicles identified by the cameras on the three-axis electric bracket. The Camera Vehicle Identification Data Acquisition Module includes a camera identification angle control unit and a license plate recognition efficiency optimization unit. The vehicle identification data includes camera identification angle data and license plate recognition efficiency data; Camera Identification Angle Control Module: Used to receive the vehicle identification data transmitted by the Camera Vehicle Identification Data Acquisition Module, calculate the camera angle correction index of all numbered vehicles identified by the cameras on the three-axis electric bracket according to the camera identification angle control unit, and send the camera identification angle adjustment instruction on the three-axis electric bracket to the corresponding angle adjustment terminal for corresponding adjustment; Camera Image Data Processing Module: Used to receive the vehicle identification data transmitted by the Camera Vehicle Identification Data Acquisition Module and calculate the license plate recognition efficiency index of all numbered vehicles identified by the cameras on the three-axis electric bracket according to the license plate recognition efficiency optimization unit; Camera Automatic Debugging Effect Feedback Module: Used to calculate the camera debugging effectiveness feedback coefficient of the three-axis electric bracket according to the camera angle correction index and license plate recognition efficiency index of all numbered vehicles identified by the cameras on the three-axis electric bracket; Bracket Automatic Debugging Effect Evaluation Module: Used to obtain the camera debugging effectiveness feedback coefficient of the three-axis electric bracket, compare it with the preset camera debugging effectiveness feedback coefficient, and process it; The specific evaluation method of the Bracket Automatic Debugging Effect Evaluation Module is: Obtain the camera debugging effectiveness feedback coefficient of the three-axis electric bracket, compare it with the preset camera debugging effectiveness feedback coefficient. If the camera debugging effectiveness feedback coefficient of a certain three-axis electric bracket is greater than the preset camera debugging effectiveness feedback coefficient, it indicates that the camera debugging and recognition effect of this three-axis electric bracket does not meet the expectation, and a three-axis electric bracket maintenance instruction should be sent to the management personnel. Otherwise, it indicates that the camera debugging and recognition effect of this three-axis electric bracket meets the expectation.

2. The automated camera debugging system based on a three-axis electric bracket according to claim 1, wherein: The specific content of the Camera Vehicle Identification Number Module is: Identify vehicles using a camera mounted on a three-axis electric support, assign a unique number to each identified vehicle, and sequentially number the vehicles identified by the camera on the three-axis electric support as 1, 2,... ,... .

3. An automated camera debugging system based on a three-axis electric bracket according to claim 1, characterized in that: The specific content of the Camera Vehicle Identification Data Acquisition Module is: Camera recognition angle control unit: Collect the license plate recognition distances, camera angles, and camera heights from the ground of all numbered vehicles recognized by the camera on the three-axis electric support, and mark them as , , , where = 1, 2,... , represents the number of the th vehicle; License plate recognition efficiency optimization unit: Collect the license plate recognition center point coordinates, ideal imaging point coordinates of the camera, and license plate recognition time of all numbered vehicles recognized by the camera on the three-axis electric bracket, and mark them respectively as , , .

4. An automated camera debugging system based on a three-axis electric bracket according to claim 1, characterized in that: The specific content of the Camera Identification Angle Control Module is: Step S01: Receive the camera angles transmitted by the camera vehicle recognition data acquisition module, extract the camera pitch angle and the camera yaw angle, and mark them as , ; Step S02: From the formula: , obtain the camera vertical angle control index, where is expressed as the camera vertical angle control index of the th vehicle, is expressed as the camera ground clearance of the th vehicle, is expressed as the camera pitch angle of the th vehicle; Step S03: From the formula: , obtain the camera horizontal angle control index, where represents the camera horizontal angle control index of the th vehicle, represents the camera ground clearance of the th vehicle, represents the camera yaw angle of the th vehicle; Step S04: The calculation formula of the camera angle correction index is: , where is expressed as the camera angle correction index of the th vehicle, is expressed as the effective vertical recognition ratio of the camera of the th vehicle, is expressed as the effective horizontal recognition ratio of the camera of the th vehicle, is expressed as the license plate recognition distance of the th vehicle; Step S05: According to the camera vertical recognition effective ratio of all numbered vehicles identified by the cameras on the three-axis electric bracket, if the camera vertical recognition effective ratio of all numbered vehicles identified by the cameras on the three-axis electric bracket is greater than 1, it indicates that the camera vertical angle on this three-axis electric bracket needs to be adjusted, and a camera vertical recognition angle adjustment instruction should be sent to the three-axis electric bracket for adjustment; Step S06: According to the effective horizontal recognition ratio of all numbered vehicles recognized by the camera on the three-axis electric support, if the effective horizontal recognition ratio of the cameras of all numbered vehicles recognized by the camera on the three-axis electric support is greater than 1, it indicates that the horizontal angle of the camera on the three-axis electric support needs to be adjusted. Then, send a camera horizontal recognition angle adjustment command to the three-axis electric support for adjustment.

5. An automated camera debugging system based on a three-axis electric bracket according to claim 1, characterized in that: The camera image data processing module is specifically: Step S01: Receive the license plate recognition center point coordinates transmitted by the camera vehicle recognition data acquisition module , the ideal imaging point coordinates of the camera ; Step S02: Calculate the camera positioning control accuracy. The specific calculation formula is: , where is expressed as the camera positioning control accuracy of the th vehicle, is expressed as the x-axis coordinate of the center point of license plate recognition of the th vehicle, is expressed as the y-axis coordinate of the center point of license plate recognition of the th vehicle, is expressed as the x-axis coordinate of the ideal imaging point of the camera, is expressed as the y-axis coordinate of the ideal imaging point of the camera; Step S03: The calculation formula of the license plate recognition efficiency index is: , where is expressed as the license plate recognition efficiency index of the th vehicle, is expressed as the maximum value of the camera positioning control accuracy, is expressed as the minimum value of the camera positioning control accuracy, is expressed as the th vehicle's license plate recognition time, is expressed as the th vehicle's license plate recognition time, is expressed as the th vehicle's license plate recognition time.

6. The automated camera debugging system based on a three-axis electric bracket according to claim 1, wherein: The calculation formula of the camera debugging effectiveness feedback coefficient is: , where is expressed as the feedback coefficient of camera debugging effectiveness, is expressed as the effective vertical recognition percentage of the camera for the th vehicle, is expressed as the effective horizontal recognition percentage of the camera for the th vehicle, is expressed as the license plate recognition efficiency index for the th vehicle, is expressed as the preset effective vertical recognition percentage of the camera, is expressed as the preset effective horizontal recognition percentage of the camera, is expressed as the preset license plate recognition efficiency index, is expressed as the weight coefficient of the license plate recognition efficiency index, and n is expressed as the number of vehicles.

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