Automatic camera debugging system based on three-axis electric support

Abstract

The invention discloses an automatic camera debugging system based on a three-axis electric support, and particularly relates to the technical field of camera correction control. Comprising 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 automatic debugging effect feedback module and a support automatic debugging effect evaluation module. A camera angle correction index and a license plate recognition efficiency index are obtained through calculation, a camera debugging effect feedback coefficient of the three-axis electric support is obtained through further analysis, and the recognition effective proportion of the vertical angle and the horizontal angle of the camera is calculated and monitored by monitoring the angle regulation and control index in real time, so that whether the angle of the camera needs to be adjusted or not is accurately judged. The whole process is highly automatic and intelligent, and the passing efficiency of vehicles is improved by optimizing a recognition algorithm and a barrier gate control system.

Description

Technical Field

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

[0002] With the rapid development of science and technology, cameras, as key equipment for image acquisition, are increasingly used in various fields. By utilizing image processing, machine vision and automatic control technology, the debugging and optimization of camera equipment can be achieved, thereby improving the stability of imaging quality.

[0003] As one of the core devices for vehicle identification management, the existing automated cameras 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 human 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, there are still some shortcomings in its actual use. For example, when the existing barrier recognition integrated machine recognizes vehicle information, it requires professional technicians to conduct detailed on-site debugging to ensure that the camera can capture the clearest and most comprehensive vehicle image, which increases the human resource cost, and the manual debugging cycle is long and inefficient. The existing camera angle debugging of the integrated barrier recognition machine lacks real-time debugging effect evaluation standards and methods, and cannot provide an objective basis for debugging through quantitative evaluation results to achieve automatic debugging and optimization of the camera and achieve the best recognition effect. Summary of the invention

[0005] 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, which is used to solve the problems raised in the above-mentioned background technology.

[0006] 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: Camera vehicle identification number module: used to count the camera-recognized vehicles installed on the three-axis electric bracket and to number the camera-recognized vehicles on the three-axis electric bracket.

[0007] Camera vehicle identification data acquisition module: used to collect vehicle identification data of vehicles identified by the camera 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 recognition angle data and license plate recognition efficiency data.

[0008] Camera recognition angle control module: used to receive vehicle recognition data transmitted by the camera vehicle recognition data acquisition module, calculate the camera angle correction index of the camera on the three-axis electric bracket to identify the vehicle according to the camera recognition angle control unit, and send the camera recognition angle control command on the three-axis electric bracket to the corresponding angle control terminal for corresponding control.

[0009] 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 the vehicle identified by the camera on the three-axis electric bracket according to the license plate recognition efficiency optimization unit.

[0010] Camera automatic debugging effect feedback module: used to calculate the camera debugging effect feedback coefficient of the three-axis electric bracket according to the camera angle correction index and license plate recognition efficiency index of the vehicle recognized by the camera on the three-axis electric bracket.

[0011] Bracket automated debugging effect evaluation module: used to obtain the camera debugging effect feedback coefficient of the three-axis electric bracket, compare it with the preset camera debugging effect feedback coefficient, and process it.

[0012] Preferably, the camera vehicle identification number module is specifically: The camera installed on the three-axis electric support recognizes the vehicle, and each recognized vehicle is uniquely numbered. The vehicles recognized by the camera on the three-axis electric support are numbered 1, 2,... ,... .

[0013] Preferably, the camera vehicle recognition data acquisition module is specifically: Camera recognition angle control unit: collects the license plate recognition distance, camera angle, and camera height from the ground of the vehicle recognized by the camera on the three-axis electric bracket, and marks them as , , ,in =1,2,... , Expressed as The vehicle number; License plate recognition efficiency optimization unit: collects the coordinates of the license plate recognition center point, the coordinates of the ideal imaging point of the camera, and the license plate recognition time of the vehicle recognized by the camera on the three-axis electric bracket, and marks them as , , .

[0014] Preferably, the camera recognition angle control module is specifically: Step S01: Receive the camera angle transmitted by the camera vehicle recognition data acquisition module, extract the camera pitch angle and camera yaw angle, and mark them as , ; Step S02: According to the formula: , get the camera vertical angle control index, where Expressed as The camera vertical angle control index of each vehicle, Expressed as The height of the vehicle's camera from the ground, Expressed as The camera pitch angle of each vehicle; Step S03: According to the formula: , get the camera horizontal angle control index, where Expressed as The camera horizontal angle control index of each vehicle, Expressed as The height of the vehicle's camera from the ground, Expressed as The camera yaw angle of each vehicle; Step S04: The camera angle correction index is calculated using the formula: ,in Expressed as The camera angle correction index of each vehicle, Expressed as The effective proportion of vertical recognition of cameras in vehicles, Expressed as The effective proportion of camera horizontal recognition of vehicles, Expressed as The license plate recognition distance of each vehicle; Step S05: according to the effective proportion of vertical recognition of the camera on the three-axis electric support for recognizing the vehicle, if the effective proportion of vertical recognition of the camera on the three-axis electric support for recognizing the vehicle is greater than 1, it indicates that the vertical angle of the camera on the three-axis electric support needs to be adjusted, and a camera vertical recognition angle adjustment instruction is sent to the three-axis electric support for adjustment; Step S06: According to the effective proportion of the camera horizontal recognition of the vehicle recognized by the camera on the three-axis electric bracket, if the effective proportion of the camera horizontal recognition of the vehicle recognized 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, and then a camera horizontal recognition angle adjustment instruction is sent to the three-axis electric bracket for adjustment.

[0015] Preferably, the camera image data processing module is specifically: Step S01: Receive the coordinates of the center point of license plate recognition transmitted by the camera vehicle recognition data acquisition module , Coordinates of the ideal imaging point of the camera ; Step S02: Calculate the camera positioning control accuracy. The specific calculation formula is: ,in Expressed as The camera positioning control accuracy of each vehicle, Expressed as The x-axis coordinate of the center point of the vehicle’s license plate recognition, Expressed as The y-axis coordinate of the center point of the vehicle’s license plate recognition, Expressed as the x-axis coordinate of the ideal imaging point of the camera, 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: ,in Expressed as The license plate recognition efficiency index of each vehicle, It is expressed as the maximum value of the camera positioning control accuracy. It is expressed as the minimum value of the camera positioning control accuracy. Expressed as The license plate recognition time of each vehicle, Expressed as The license plate recognition time of each vehicle, Expressed as The license plate recognition time of each vehicle.

[0016] Preferably, the calculation formula of the camera debugging effectiveness feedback coefficient is: ,in It is expressed as the camera debugging effect feedback coefficient. Expressed as The effective proportion of vertical recognition of cameras in vehicles, Expressed as The effective proportion of camera horizontal recognition of vehicles, Expressed as The license plate recognition efficiency index of each vehicle, It is expressed as the preset effective ratio of vertical recognition of the camera. It is expressed as the preset effective ratio of camera horizontal recognition. Expressed as the preset license plate recognition efficiency index, It is expressed as the weight coefficient of the license plate recognition efficiency index, and n is the number of vehicles.

[0017] Preferably, the specific evaluation method of the bracket automation debugging effect evaluation module is: Obtain the camera debugging effectiveness feedback coefficient of the three-axis electric bracket, and compare it with the preset camera debugging effectiveness feedback coefficient. If the camera debugging effectiveness feedback coefficient of a three-axis electric bracket is greater than the preset camera debugging effectiveness feedback coefficient, it indicates that the camera debugging and recognition effect of the three-axis electric bracket does not meet expectations, 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 the three-axis electric bracket meets expectations.

[0018] Technical effects and advantages of the present invention: 1. The present invention provides an automated camera debugging system based on a three-axis electric bracket, which collects vehicle identification data of a vehicle identified by a camera on the three-axis electric bracket, calculates a camera angle correction index for vehicle identification by the camera on the three-axis electric bracket according to a camera identification angle control unit, calculates a license plate recognition efficiency index for vehicle identification by the camera on the three-axis electric bracket according to a license plate recognition efficiency optimization unit, further analyzes and obtains 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 recognition effect of the three-axis electric bracket does not meet expectations, and a three-axis electric bracket maintenance instruction should be sent to the management personnel. Otherwise, it indicates that the camera debugging recognition effect of the three-axis electric bracket meets expectations. The entire process achieves a high degree of automation and intelligence, reduces the need for manual intervention, and improves the traffic efficiency of vehicles by optimizing the recognition algorithm and the gate control system. 2. The present invention provides an automated camera debugging system based on a three-axis electric bracket. The camera recognition angle control module is used to calculate the camera vertical angle control index, and the camera vertical recognition effective ratio is further analyzed to obtain the camera vertical recognition effective ratio. According to the camera vertical recognition effective ratio of the vehicle recognized by the camera on the three-axis electric bracket, if the camera vertical recognition effective ratio of the vehicle recognized 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. In this way, the camera vertical recognition angle adjustment instruction is sent to the three-axis electric bracket for adjustment. Similarly, the camera horizontal angle is adjusted. By real-time monitoring of the angle adjustment index, the effective recognition ratios of the camera vertical and horizontal angles are calculated and monitored, so as to accurately judge whether the camera needs to adjust the angle, thereby improving the efficiency and accuracy of vehicle recognition. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the system module process connection of the present invention.

[0020] Figure 2 It is a schematic diagram of the structure of the camera vehicle recognition data acquisition module of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in 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.

[0022] See also Figure 1 As shown, the present invention provides an automated camera debugging system based on a three-axis electric bracket, including 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.

[0023] The camera vehicle identification number module is connected to the camera vehicle identification data acquisition module, the camera vehicle identification data acquisition module is connected to the camera identification angle control module and the camera image data processing module, the camera identification angle control module and the camera image data processing module are connected to the camera automatic debugging effect feedback module, and the camera automatic debugging effect feedback module is connected to the bracket automatic debugging effect evaluation module.

[0024] The camera vehicle identification number module is used to count the camera-identified vehicles installed on the three-axis electric support and to number the camera-identified vehicles on the three-axis electric support.

[0025] In a possible design, the camera vehicle identification number module is specifically: The camera installed on the three-axis electric support recognizes the vehicle, and each recognized vehicle is uniquely numbered. The vehicles recognized by the camera on the three-axis electric support are numbered 1, 2,... ,... .

[0026] See also Figure 2 As shown, the camera vehicle recognition data acquisition module is used to collect vehicle recognition data of the vehicle recognized by the camera on the three-axis electric bracket. The camera vehicle recognition data acquisition module includes a camera recognition angle control unit and a license plate recognition efficiency optimization unit. The vehicle recognition data includes camera recognition angle data and license plate recognition efficiency data.

[0027] In a possible design, the camera vehicle recognition data acquisition module is specifically: Camera recognition angle control unit: collects the license plate recognition distance, camera angle, and camera height from the ground of the vehicle recognized by the camera on the three-axis electric bracket, and marks them as , , ,in =1,2,... , Expressed as The vehicle number; License plate recognition efficiency optimization unit: collects the coordinates of the license plate recognition center point, the coordinates of the ideal imaging point of the camera, and the license plate recognition time of the vehicle recognized by the camera on the three-axis electric bracket, and marks them as , , .

[0028] In this embodiment, it should be specifically explained that the specific method for collecting the coordinates of the center point of the license plate recognition is: Step S01: obtaining an initial license plate image, and performing preprocessing operations including but not limited to grayscale, binarization, and denoising on the initial license plate image; Step S02: according to the position and size of the license plate in the initial license plate image, a final license plate image is cropped to obtain the width and height of the final license plate image; Step S03: With the upper left corner of the final license plate image as the origin, the x-axis to the right as the positive direction, and the y-axis downward as the positive direction, the coordinates of the center point of the license plate recognition are calculated as follows: the x value is half of the width, the y value is half of the height, and the coordinate values ​​are integers.

[0029] 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 of the camera on the three-axis electric bracket to identify the vehicle according to the camera recognition angle control unit, and send the camera recognition angle control instruction on the three-axis electric bracket to the corresponding angle control terminal for corresponding control.

[0030] In a possible design, the camera recognition angle control module is specifically: Step S01: Receive the camera angle transmitted by the camera vehicle recognition data acquisition module, extract the camera pitch angle and camera yaw angle, and mark them as , ; Step S02: According to the formula: , get the camera vertical angle control index, where Expressed as The camera vertical angle control index of each vehicle, Expressed as The height of the vehicle's camera from the ground, Expressed as The camera pitch angle of each vehicle; Step S03: According to the formula: , get the camera horizontal angle control index, where Expressed as The camera horizontal angle control index of each vehicle, Expressed as The height of the vehicle's camera from the ground, Expressed as The camera yaw angle of each vehicle; Step S04: The camera angle correction index is calculated using the formula: ,in Expressed as The camera angle correction index of each vehicle, Expressed as The effective proportion of vertical recognition of cameras in vehicles, Expressed as The effective proportion of camera horizontal recognition of vehicles, Expressed as The license plate recognition distance of each vehicle; Step S05: according to the effective proportion of vertical recognition of the camera on the three-axis electric support for recognizing the vehicle, if the effective proportion of vertical recognition of the camera on the three-axis electric support for recognizing the vehicle is greater than 1, it indicates that the vertical angle of the camera on the three-axis electric support needs to be adjusted, and a camera vertical recognition angle adjustment instruction is sent to the three-axis electric support for adjustment; Step S06: According to the effective proportion of the camera horizontal recognition of the vehicle recognized by the camera on the three-axis electric bracket, if the effective proportion of the camera horizontal recognition of the vehicle recognized 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, and then a camera horizontal recognition angle adjustment instruction is sent to the three-axis electric bracket for adjustment.

[0031] In this embodiment, it should be specifically explained that the angle control terminal in the camera recognition angle control module is a three-axis electric bracket.

[0032] 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 camera on the three-axis electric bracket according to the license plate recognition efficiency optimization unit.

[0033] In a possible design, the camera image data processing module is specifically: Step S01: Receive the coordinates of the center point of license plate recognition transmitted by the camera vehicle recognition data acquisition module , Coordinates of the ideal imaging point of the camera ; Step S02: Calculate the camera positioning control accuracy. The specific calculation formula is: ,in Expressed as The camera positioning control accuracy of each vehicle, Expressed as The x-axis coordinate of the center point of the vehicle’s license plate recognition, Expressed as The y-axis coordinate of the center point of the vehicle’s license plate recognition, Expressed as the x-axis coordinate of the ideal imaging point of the camera, 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: ,in Expressed as The license plate recognition efficiency index of each vehicle, It is expressed as the maximum value of the camera positioning control accuracy. It is expressed as the minimum value of the camera positioning control accuracy. Expressed as The license plate recognition time of each vehicle, Expressed as The license plate recognition time of each vehicle, Expressed as The license plate recognition time of each vehicle.

[0034] The camera automatic debugging effect feedback module is used to calculate the camera debugging effect feedback coefficient of the three-axis electric bracket according to the camera angle correction index and license plate recognition efficiency index of the camera on the three-axis electric bracket to recognize the vehicle.

[0035] In a possible design, the calculation formula of the camera debugging effectiveness feedback coefficient is: ,in It is expressed as the camera debugging effect feedback coefficient. Expressed as The effective proportion of vertical recognition of cameras in vehicles, Expressed as The effective proportion of camera horizontal recognition of vehicles, Expressed as The license plate recognition efficiency index of each vehicle, It is expressed as the preset effective ratio of vertical recognition of the camera. It is expressed as the preset effective ratio of camera horizontal recognition. Expressed as the preset license plate recognition efficiency index, It is expressed as the weight coefficient of the license plate recognition efficiency index, and n is the number of vehicles.

[0036] The bracket automatic debugging effect evaluation module is used to obtain the camera debugging effect feedback coefficient of the three-axis electric bracket, compare it with the preset camera debugging effect feedback coefficient, and process it.

[0037] In a possible design, 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, and compare it with the preset camera debugging effectiveness feedback coefficient. If the camera debugging effectiveness feedback coefficient of a three-axis electric bracket is greater than the preset camera debugging effectiveness feedback coefficient, it indicates that the camera debugging and recognition effect of the three-axis electric bracket does not meet expectations, 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 the three-axis electric bracket meets expectations.

[0038] In the present embodiment, it should be specifically explained that the present invention collects vehicle identification data of the vehicle identified by the camera on the three-axis electric bracket, calculates the camera angle correction index of the vehicle identified by the camera on the three-axis electric bracket according to the camera identification angle control unit, calculates the license plate recognition efficiency index of the vehicle identified by the camera on the three-axis electric bracket according to the license plate recognition efficiency optimization unit, further analyzes to obtain the camera debugging effectiveness feedback coefficient of the three-axis electric bracket, and compares 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 the three-axis electric bracket does not meet expectations, 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 the three-axis electric bracket meets expectations. The entire process is highly automated and intelligent, reduces the need for manual intervention, and improves the traffic efficiency of vehicles by optimizing the recognition algorithm and the barrier control system.

[0039] In the present embodiment, it is necessary to specifically explain that the camera recognition angle control module is used to calculate the camera vertical angle control index, which is further analyzed to obtain the effective ratio of camera vertical recognition. According to the effective ratio of camera vertical recognition of the vehicle recognized by the camera on the three-axis electric bracket, if the effective ratio of camera vertical recognition of the vehicle recognized 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, 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 of the angle adjustment index, the effective ratios of the vertical and horizontal angles of the camera are calculated and monitored, so as to accurately judge whether the camera needs to adjust the angle, thereby improving the efficiency and accuracy of vehicle recognition.

[0040] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should 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: include: Camera vehicle identification number module: used to count the camera-identified vehicles installed on the three-axis electric support and number the camera-identified vehicles on the three-axis electric support; Camera vehicle recognition data acquisition module: used to collect vehicle recognition data of the vehicle recognized by the camera on the three-axis electric support, the camera vehicle recognition data acquisition module includes a camera recognition angle control unit and a license plate recognition efficiency optimization unit, and the vehicle recognition data includes camera recognition angle data and license plate recognition efficiency data; 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 of the vehicle recognized by the camera on the three-axis electric bracket according to the camera recognition angle control unit, and send the camera recognition angle control instruction on the three-axis electric bracket to the corresponding angle control terminal for corresponding control; The camera image data processing module is 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 the vehicle identified by the camera 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 effect feedback coefficient of the three-axis electric bracket according to the camera angle correction index and license plate recognition efficiency index of the vehicle recognized by the camera on the three-axis electric bracket; Bracket automated debugging effect evaluation module: used to obtain the camera debugging effect feedback coefficient of the three-axis electric bracket, compare it with the preset camera debugging effect feedback coefficient, and process it.

2. The automatic camera debugging system based on the three-axis electric bracket according to claim 1, characterized in that: The camera vehicle identification number module is specifically: The camera installed on the three-axis electric support recognizes the vehicle, and each recognized vehicle is uniquely numbered. The vehicles recognized by the camera on the three-axis electric support are numbered 1, 2,... ,... .

3. The automatic camera debugging system based on the three-axis electric bracket according to claim 2 is characterized in that: The camera vehicle recognition data acquisition module is specifically: Camera recognition angle control unit: collects the license plate recognition distance, camera angle, and camera height from the ground of the vehicle recognized by the camera on the three-axis electric bracket, and marks them as , , ,in =1,2,... , Expressed as The vehicle number; License plate recognition efficiency optimization unit: collects the coordinates of the license plate recognition center point, the coordinates of the ideal imaging point of the camera, and the license plate recognition time of the vehicle recognized by the camera on the three-axis electric bracket, and marks them as , , .

4. The automatic camera debugging system based on a three-axis electric bracket according to claim 3, characterized in that: The camera recognition angle control module is specifically: Step S01: Receive the camera angle transmitted by the camera vehicle recognition data acquisition module, extract the camera pitch angle and camera yaw angle, and mark them as , ; Step S02: According to the formula: , get the camera vertical angle control index, where Expressed as The camera vertical angle control index of each vehicle, Expressed as The height of the vehicle's camera from the ground, Expressed as The camera pitch angle of each vehicle; Step S03: According to the formula: , get the camera horizontal angle control index, where Expressed as The camera horizontal angle control index of each vehicle, Expressed as The height of the vehicle's camera from the ground, Expressed as The camera yaw angle of each vehicle; Step S04: The camera angle correction index is calculated using the formula: ,in Expressed as The camera angle correction index of each vehicle, Expressed as The effective proportion of vertical recognition of cameras in vehicles, Expressed as The effective proportion of camera horizontal recognition of vehicles, Expressed as The license plate recognition distance of each vehicle; Step S05: according to the effective proportion of vertical recognition of the camera on the three-axis electric support for recognizing the vehicle, if the effective proportion of vertical recognition of the camera on the three-axis electric support for recognizing the vehicle is greater than 1, it indicates that the vertical angle of the camera on the three-axis electric support needs to be adjusted, and a camera vertical recognition angle adjustment instruction is sent to the three-axis electric support for adjustment; Step S06: According to the effective proportion of the camera horizontal recognition of the vehicle recognized by the camera on the three-axis electric bracket, if the effective proportion of the camera horizontal recognition of the vehicle recognized 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, and then a camera horizontal recognition angle adjustment instruction is sent to the three-axis electric bracket for adjustment.

5. The automatic camera debugging system based on the three-axis electric bracket according to claim 4 is characterized in that: The camera image data processing module is specifically: Step S01: Receive the coordinates of the center point of license plate recognition transmitted by the camera vehicle recognition data acquisition module , Coordinates of the ideal imaging point of the camera ; Step S02: Calculate the camera positioning control accuracy. The specific calculation formula is: ,in Expressed as The camera positioning control accuracy of each vehicle, Expressed as The x-axis coordinate of the center point of the vehicle’s license plate recognition, Expressed as The y-axis coordinate of the center point of the vehicle’s license plate recognition, Expressed as the x-axis coordinate of the ideal imaging point of the camera, 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: ,in Expressed as The license plate recognition efficiency index of each vehicle, It is expressed as the maximum value of the camera positioning control accuracy. It is expressed as the minimum value of the camera positioning control accuracy. Expressed as The license plate recognition time of each vehicle, Expressed as The license plate recognition time of each vehicle, Expressed as The license plate recognition time of each vehicle.

6. The automatic camera debugging system based on a three-axis electric bracket according to claim 5, characterized in that: The calculation formula of the camera debugging effectiveness feedback coefficient is: ,in It is expressed as the camera debugging effect feedback coefficient. Expressed as The effective proportion of vertical recognition of cameras in vehicles, Expressed as The effective proportion of camera horizontal recognition of vehicles, Expressed as The license plate recognition efficiency index of each vehicle, It is expressed as the preset effective ratio of vertical recognition of the camera. It is expressed as the preset effective ratio of camera horizontal recognition. Expressed as the preset license plate recognition efficiency index, It is expressed as the weight coefficient of the license plate recognition efficiency index, and n is the number of vehicles.

7. The automatic camera debugging system based on the three-axis electric bracket according to claim 6, characterized in that: 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, and compare it with the preset camera debugging effectiveness feedback coefficient. If the camera debugging effectiveness feedback coefficient of a three-axis electric bracket is greater than the preset camera debugging effectiveness feedback coefficient, it indicates that the camera debugging and recognition effect of the three-axis electric bracket does not meet expectations, 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 the three-axis electric bracket meets expectations.

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