Mirror cover production-based child warning label automatic identification method and system

Abstract

The invention discloses a child warning label automatic identification method and system based on mirror cover production, and relates to the technical field of image processing, and the method comprises the steps: obtaining the shape of a child warning label detection tool, carrying out the position analysis processing of the shape of the child warning label detection tool, and obtaining a child warning label detection result; determining a left detection point coordinate of the child warning label and a right detection point coordinate of the child warning label; and acquiring an identification data set of the child warning label. The method comprises the following steps: firstly, performing shape analysis on a child warning label detection tool, determining a left detection point coordinate of a child warning label and a right detection point coordinate of the child warning label, and then, determining the left detection point coordinate of the child warning label and the right detection point coordinate of the child warning label according to the left detection point coordinate of the child warning label and the right detection point coordinate of the child warning label. Distance analysis and angle analysis are carried out on the to-be-analyzed child warning label, it is guaranteed that the child warning label is installed in a designated area, when the child warning label is installed on an automobile subsequently, a driver can make correct operation according to the child warning label, and the safety of a child is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of image processing technology, specifically to an automatic identification method and system for child warning labels based on mirror cover production. Background Technology

[0002] Child warning tags are markings designed to alert drivers that a child is in the vehicle. These tags are typically affixed to a prominent location on the windshield or body of the car to increase driver awareness and ensure they are more attentive to their surroundings, especially when parking or reversing. This effectively reduces the risk of accidents and protects children's safety.

[0003] Child warning tags are usually installed on car windshield covers. However, child warning tags need to be installed in designated areas. If they are installed in other areas, drivers will not be able to see all the information on the child warning tag and will not be able to take the corresponding actions. Such child warning tags cannot be put into use. Summary of the Invention

[0004] To address the aforementioned technical problems, this paper provides an automatic identification method and system for child warning labels based on mirror cover production. This technical solution resolves the issues raised in the background section.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: An automatic identification method for child warning labels based on lens cover production includes: The shape of the child warning label detection fixture is obtained, and the position analysis of the shape of the child warning label detection fixture is performed to determine the coordinates of the left detection point and the right detection point of the child warning label. A standard image set of child warning labels is obtained. Based on the coordinates of the left and right detection points of the child warning labels, data calculation and processing are performed on the standard images of the child warning labels to obtain a set of recognition data for the child warning labels. The set of recognition data for the child warning labels includes a set of standard distances to the left of the child warning labels, a set of standard angles to the left of the child warning labels, a set of standard distances to the right of the child warning labels, and a set of standard angles to the right of the child warning labels. Based on the coordinates of the left and right detection points of the child warning label, data calculation and processing are performed on the child warning label to be detected to obtain a data set of the child warning label to be analyzed. The data set of the child warning label to be analyzed includes the left distance, left angle, right distance, and right angle of the child warning label to be analyzed. Based on the identification dataset of child warning labels, the dataset of child warning labels to be analyzed is compared to determine whether the child warning labels to be analyzed are installed correctly.

[0006] Preferably, the steps of obtaining the shape of the child warning label detection fixture, performing positional analysis on the shape of the child warning label detection fixture, and determining the coordinates of the left and right detection points of the child warning label specifically include the following steps: Based on the image capturing equipment, the image of the child warning label detection tool is captured and processed to obtain the image of the child warning label detection tool. Feature extraction processing is performed on the image of the child warning label detection fixture to obtain the shape of the child warning label detection fixture; The shape of the child warning label detection fixture is calculated and processed to obtain the length and width data of the child warning label fixture. Based on the length and width data of the child warning label fixture, the shape of the child warning label detection fixture is analyzed to determine the coordinates of the left and right detection points of the child warning label.

[0007] Preferably, the step of performing positional analysis on the shape of the child warning label detection fixture based on the length and width data of the fixture, and determining the coordinates of the left and right detection points of the child warning label, specifically includes the following steps: The length and width data of the child warning label fixture are calculated and processed to determine the center position of the child warning label fixture; Construct a two-dimensional rectangular coordinate system, where the origin of the two-dimensional rectangular coordinate system is the center position of the child warning label fixture, the X-axis of the two-dimensional rectangular coordinate system is the length direction of the child warning label fixture, and the Y-axis of the two-dimensional rectangular coordinate system is the width direction of the child warning label fixture; Calculate the coordinates of the left apex and right apex of the shape of the child warning label detection fixture in a two-dimensional rectangular coordinate system to obtain the coordinates of the left and right detection points of the child warning label.

[0008] Preferably, the process of obtaining a standard image set of child warning labels, based on the coordinates of the left and right detection points of the child warning labels, involves data calculation and processing of the standard images of the child warning labels to obtain a set of recognition data for the child warning labels. Specifically, this includes the following steps: Shape analysis was performed on the shape of the child warning label detection fixture to determine the area where the child warning label could be placed. The child warning labels are continuously moved within the area where they can be placed, and image acquisition and processing are performed to obtain a standard set of images of the child warning labels. Place all images from the standard image set of child warning labels into a two-dimensional Cartesian coordinate system; In a two-dimensional rectangular coordinate system, the images in the standard image set of child warning labels are processed by using the coordinates of the left and right detection points of the child warning labels to obtain the recognition data set of child warning labels.

[0009] Preferably, the step of performing data calculation and processing on the images in the standard image set of child warning labels in a two-dimensional rectangular coordinate system using the coordinates of the left and right detection points of the child warning labels to obtain the recognition data set of child warning labels specifically includes the following steps: In a two-dimensional rectangular coordinate system, the coordinates of the left and right vertices of the child warning labels in the standard image set of the child warning labels are calculated to obtain the standard coordinate set of the left side of the child warning labels and the standard coordinate set of the left side of the child warning labels. Based on the coordinates of the left and right detection points of the child warning label, the standard coordinate sets on the left and right sides of the child warning label are calculated and processed to obtain the standard distance sets on the left and right sides of the child warning label. Angle calculations are performed on the standard distance sets to the left and right of the child warning labels to obtain the standard angle sets to the left and right of the child warning labels.

[0010] Preferably, the step of performing angle calculation processing on the standard distance set to the left and the standard distance set to the right of the child warning label to obtain the standard angle set to the left and the standard angle set to the right of the child warning label specifically includes the following steps: Based on the minimum value function, the standard distance set on the left and the standard distance set on the right of the child warning label are sorted to obtain the ordered set of the standard distance on the left and the ordered set of the standard distance on the right. Data filtering is performed on the ordered sets of left and right standard distances respectively to obtain the maximum and minimum values ​​of the left and right standard distances; Angle construction is performed using the coordinates of the left detection point of the child warning label, the maximum value of the left standard distance, and the minimum value of the left standard distance to obtain the set of left standard angles of the child warning label; Angle construction is performed using the coordinates of the right detection point of the child warning label, the maximum value of the standard distance on the right side, and the minimum value of the standard distance on the right side to obtain the set of standard angles on the right side of the child warning label.

[0011] Preferably, the step of performing data calculation and processing on the child warning labels to be detected based on the coordinates of the left and right detection points of the child warning labels to obtain the data set of child warning labels to be analyzed specifically includes the following steps: Based on the image capturing equipment, the image of the child warning label to be detected on the child warning label detection fixture is captured and processed to obtain the image of the child warning label to be detected; In a two-dimensional rectangular coordinate system, coordinate determination processing is performed on the image of the child warning label to be detected to obtain the coordinates of the left top corner and the right top corner of the child warning label to be detected; Based on the coordinates of the left and right detection points of the child warning label, the Euclidean distance is calculated between the coordinates of the left and right top corners of the child warning label to be detected, so as to obtain the left and right distances of the child warning label to be analyzed. Angle construction is performed using the coordinates of the right detection point of the child warning label and the distance to the right side of the child warning label to be analyzed, to obtain the right side angle of the child warning label to be analyzed; Angle construction is performed using the coordinates of the left detection point of the child warning label and the distance to the left side of the child warning label to be analyzed, to obtain the left side angle of the child warning label to be analyzed.

[0012] Preferably, the identification dataset based on child warning labels, which involves comparing the dataset of child warning labels to be analyzed to determine whether the child warning labels are installed correctly, specifically includes the following steps: Based on the standard distance set and standard angle set of the left side of child warning labels, a comparative analysis of the left side distance and left side angle of the child warning labels to be analyzed is performed to determine whether the child warning labels are installed correctly. Based on the standard distance set and standard angle set on the right side of child warning labels, a comparative analysis of the right-side distance and right-side angle of the child warning labels to be analyzed is performed to determine whether the child warning labels to be analyzed are installed correctly.

[0013] Preferably, the step of comparing and analyzing the left-side distance and left-side angle of the child warning label based on the standard distance set and standard angle set of the child warning label to be analyzed to determine whether the child warning label to be analyzed is installed correctly specifically includes the following steps: The standard distance set to the left of child warning labels and the distance to the left of the child warning labels to be analyzed are judged and processed. If the left distance of the child warning label to be analyzed is within the set of standard left distances of child warning labels, a comparative analysis of the left angle of the child warning label to be analyzed is performed based on the set of standard left angles of child warning labels. If the left-side angle of the child warning label to be analyzed is within the standard set of left-side angles for child warning labels, the child warning label to be analyzed is installed correctly; If the left distance of the child warning label to be analyzed is not within the standard set of left distances for child warning labels, or if the left angle of the child warning label to be analyzed is not within the standard set of left angles for child warning labels, the child warning label to be analyzed is installed incorrectly.

[0014] Furthermore, an automatic identification system for child warning labels based on lens cover production is proposed to implement the aforementioned automatic identification method for child warning labels based on lens cover production, including: An automatic identification terminal is used to control the data transmission and information interaction between various modules. The automatic identification terminal is also used to control the various modules to perform distance and angle analysis on the child warning label to be analyzed, and to determine whether the child warning label to be analyzed is installed correctly. An image capturing device is used to capture images of a child warning label detection fixture and a child warning label to be detected on the fixture, thereby obtaining an image of the child warning label detection fixture and an image of the child warning label to be detected. The coordinate determination module is used to perform position analysis on the shape of the child warning label detection fixture to obtain the coordinates of the left detection point and the right detection point of the child warning label. The standard data calculation module performs data calculation processing on the images in the standard image set of the child warning label based on the coordinates of the left detection point and the right detection point of the child warning label, and obtains the recognition data set of the child warning label. The data acquisition module performs data calculation and processing on the child warning label image to be detected in a two-dimensional rectangular coordinate system to obtain the data set of child warning labels to be analyzed; The status determination module compares the data set of the child warning labels with the data set of the child warning labels to be analyzed, and determines whether the child warning labels to be analyzed are installed.

[0015] Compared with the prior art, the present invention provides an automatic identification method and system for child warning labels based on mirror cover production, which has the following beneficial effects: This invention first performs shape analysis on the child warning label detection fixture to determine the coordinates of the left and right detection points of the child warning label. Then, using the coordinates of the left and right detection points of the child warning label, distance and angle analyses are performed on the child warning label to ensure that it is installed in the designated area. When the child warning label is subsequently installed on a car, the driver can make the correct operation based on the child warning label, ensuring the safety of the child. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating steps S100-S400 of an automatic identification method for child warning labels based on mirror cover production proposed in this invention. Figure 2 This is a structural block diagram of an automatic identification system for child warning labels based on mirror cover production proposed in this invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, an automatic identification method for child warning labels based on mirror cover production includes: S100. Obtain the shape of the child warning label detection fixture, perform position analysis on the shape of the child warning label detection fixture, and determine the coordinates of the left detection point and the right detection point of the child warning label. S200. Obtain a standard image set of child warning labels. Based on the coordinates of the left and right detection points of the child warning labels, perform data calculation processing on the standard images of the child warning labels to obtain a set of recognition data for the child warning labels. The set of recognition data for the child warning labels includes a set of standard distances to the left of the child warning labels, a set of standard angles to the left of the child warning labels, a set of standard distances to the right of the child warning labels, and a set of standard angles to the right of the child warning labels. S300. Based on the coordinates of the left detection point and the right detection point of the child warning label, perform data calculation and processing on the child warning label to be detected to obtain the data set of the child warning label to be analyzed. The data set of the child warning label to be analyzed includes the left distance of the child warning label to be analyzed, the left angle of the child warning label to be analyzed, the right distance of the child warning label to be analyzed, and the right angle of the child warning label to be analyzed. S400: Based on the identification data set of child warning labels, perform data comparison processing on the data set of child warning labels to be analyzed to determine whether the child warning labels to be analyzed are installed correctly; Those skilled in the art will understand that child warning labels need to be installed in designated areas of a vehicle. Since the driver's field of vision is fixed, the child warning label must be installed within the driver's field of vision, and the driver must be able to see the entire contents of the label. If the driver can only see part of the contents, they may not be able to make the correct operation, potentially causing injury to the child inside the vehicle. Therefore, child warning labels need to be installed in designated areas. Consequently, child warning labels put into use need to be tested to determine if their installation location meets standards. If they do not meet standards, they will not be put into use to ensure that children inside the vehicle are not harmed.

[0019] Step S100: Obtain the shape of the child warning label detection fixture, perform position analysis on the shape of the child warning label detection fixture, and determine the coordinates of the left and right detection points of the child warning label. This specifically includes the following steps: S101. Based on the image capturing device, perform image capturing and processing on the child warning label detection fixture to obtain an image of the child warning label detection fixture; S102. Perform feature extraction processing on the image of the child warning label detection fixture to obtain the shape of the child warning label detection fixture; S103. Calculate and process the shape of the child warning label detection fixture to obtain the length and width data of the child warning label fixture; S104. Based on the length and width data of the child warning label fixture, perform positional analysis on the shape of the child warning label detection fixture to determine the coordinates of the left detection point and the right detection point of the child warning label. Understandably, to determine whether a child warning label is installed in a designated area, a reference position needs to be set. Therefore, a Cartesian coordinate system is constructed based on the child warning label fixture, and the reference position is determined through the coordinate system. Specifically, step S104, which involves performing positional analysis on the shape of the child warning label detection fixture based on its length and width data, and determining the coordinates of the left and right detection points of the child warning label, includes the following steps: S1041. Calculate and process the length and width data of the child warning label fixture to determine the center position of the child warning label fixture; S1042. Construct a two-dimensional rectangular coordinate system, wherein the origin of the two-dimensional rectangular coordinate system is the center position of the child warning label fixture, the X-axis of the two-dimensional rectangular coordinate system is the length direction of the child warning label fixture, and the Y-axis of the two-dimensional rectangular coordinate system is the width direction of the child warning label fixture. S1043. Calculate the coordinates of the left apex of the shape of the child warning label detection fixture and the coordinates of the right apex of the shape of the child warning label detection fixture in a two-dimensional rectangular coordinate system, and obtain the coordinates of the left detection point and the right detection point of the child warning label. In this embodiment, if the child warning label is installed in a designated area, the distance between the child warning label and certain areas of the child warning label fixture is also fixed. Therefore, by constructing a Cartesian coordinate system based on the shape of the child warning label fixture, it is possible to determine whether the installation of the child warning label conforms to the standard.

[0020] Step S200: Obtain a standard image set of child warning labels. Based on the coordinates of the left and right detection points of the child warning labels, perform data calculation processing on the standard images of the child warning labels to obtain a recognition data set of the child warning labels. Specifically, this includes the following steps: S201. Perform shape analysis on the shape of the child warning label detection fixture to determine the area where the child warning label can be placed. S202. Continuously move the child warning labels within the area where they can be placed and perform image acquisition and processing to obtain a standard image set of the child warning labels; S203. Place all images in the standard image set of child warning labels into a two-dimensional rectangular coordinate system; S204. In a two-dimensional rectangular coordinate system, the images in the standard image set of child warning labels are processed by using the coordinates of the left detection point and the right detection point of the child warning label to obtain the recognition data set of the child warning labels. It is understandable that the area where child warning labels are installed is fixed, but the area of ​​this installation area is larger than the child warning label itself. As long as the child warning label is installed within this area, it is in compliance with the standard. Therefore, it is necessary to first determine the area where the child warning label can be placed in order to determine the identification data set of the child warning label. Specifically, step S204, in a two-dimensional rectangular coordinate system, involves performing data calculations on the images in the standard image set of child warning labels using the coordinates of the left and right detection points of the child warning labels to obtain the recognition data set of child warning labels. This includes the following steps: S2041. In a two-dimensional rectangular coordinate system, calculate the coordinates of the left and right vertices of the child warning labels in the standard image set of the child warning labels to obtain the standard coordinate set of the left side of the child warning labels and the standard coordinate set of the left side of the child warning labels. S2042. Based on the coordinates of the left detection point and the right detection point of the child warning label, calculate and process the standard coordinate set on the left side of the child warning label and the standard distance set on the right side of the child warning label respectively to obtain the standard distance set on the left side of the child warning label and the standard distance set on the right side of the child warning label. The distance data here refers to the straight-line distance between two coordinates, i.e., the Euclidean distance; S2043. Perform angle calculation processing on the standard distance set on the left side and the standard distance set on the right side of the child warning label to obtain the standard angle set on the left side and the standard angle set on the right side of the child warning label. It is understandable that the area for installing child warning tags is larger than the area of ​​the child warning tag itself. Therefore, the distance between the child warning tag and certain positions of the child warning tag detection fixture (i.e., the coordinates of the left and right detection points of the child warning tag) is within a certain range. If the distance between the child warning tag and the coordinates of the left and right detection points of the child warning tag meets the standard, then the child warning tag is installed in the designated area. However, if there is an angle deviation, then the installation of the child warning tag does not meet the standard, because an incorrect angle will affect the driver's observation and may prevent the driver from making a quick and correct operation. Specifically, step S2043, which involves performing angle calculations on the standard distance sets on the left and right sides of the child warning labels to obtain the standard angle sets on the left and right sides of the child warning labels, includes the following steps: S20431. Based on the minimum value function, sort the set of standard distances to the left and right of the child warning labels to obtain the ordered set of standard distances to the left and the ordered set of standard distances to the right. S20432. Perform data filtering processing on the ordered sets of left and right standard distances respectively to obtain the maximum value of the left standard distance, the minimum value of the left standard distance, the maximum value of the right standard distance, and the minimum value of the right standard distance; It is understandable that the installation area of ​​child warning labels is larger than the area of ​​the child warning label itself. Therefore, there are multiple distance data points for installing child warning labels within this area. Thus, it is necessary to determine this set of distances. Therefore, by filtering and processing the maximum and minimum distance values, the standard angle set on the left and right sides of the child warning labels can be determined. S20433. Using the coordinates of the left detection point of the child warning label, the maximum value of the left standard distance, and the minimum value of the left standard distance, perform angle construction processing to obtain the set of left standard angles of the child warning label; S20434. Using the coordinates of the right detection point of the child warning label, the maximum value of the right standard distance, and the minimum value of the right standard distance, perform angle construction processing to obtain the set of right standard angles of the child warning label. In this embodiment, lines are drawn from the maximum and minimum standard distances on the left to the X-axis, forming a certain angle with the X-axis. The maximum and minimum values ​​each correspond to an angle. As long as the child warning label is installed within this angle, the angle of the installed child warning label conforms to the standard.

[0021] Step S300: Based on the coordinates of the left and right detection points of the child warning labels, perform data calculation and processing on the child warning labels to be detected to obtain the data set of child warning labels to be analyzed. This specifically includes the following steps: S301. Based on the image capturing device, the image of the child warning label to be detected on the child warning label detection fixture is captured and processed to obtain the image of the child warning label to be detected; S302. In a two-dimensional rectangular coordinate system, perform coordinate determination processing on the image of the child warning label to be detected, and obtain the coordinates of the left top corner and the right top corner of the child warning label to be detected. S303. Based on the coordinates of the left detection point and the right detection point of the child warning label, perform Euclidean distance calculation on the coordinates of the left top corner of the child warning label to be detected and the coordinates of the right top corner of the child warning label to be detected, and obtain the left distance and right distance of the child warning label to be analyzed. S304. Using the coordinates of the right detection point of the child warning label and the distance to the right side of the child warning label to be analyzed, the angle is constructed to obtain the right side angle of the child warning label to be analyzed. S305. Using the coordinates of the left detection point of the child warning label and the distance to the left side of the child warning label to be analyzed, the angle is constructed to obtain the left side angle of the child warning label to be analyzed. It is understood that the data acquisition process in this embodiment is the same as the data acquisition process in embodiment 2.

[0022] Step S400: Based on the identification data set of child warning labels, perform data comparison processing on the data set of child warning labels to be analyzed to determine whether the child warning labels to be analyzed are installed correctly. This specifically includes the following steps: S401. Based on the standard distance set and standard angle set of the left side of the child warning label, perform data comparison and analysis on the left side distance and left side angle of the child warning label to be analyzed to determine whether the child warning label is installed correctly. S402. Based on the standard distance set and standard angle set on the right side of the child warning label, perform data comparison and analysis on the right side distance and right side angle of the child warning label to be analyzed to determine whether the child warning label to be analyzed is installed correctly. Specifically, step S401, based on the standard distance set and standard angle set of the left side of the child warning label, involves comparing and analyzing the left side distance and left side angle of the child warning label to be analyzed to determine whether the child warning label is installed correctly. This includes the following steps: S4011. Perform judgment processing on the standard distance set to the left of the child warning label and the distance to the left of the child warning label to be analyzed; S4012. If the left distance of the child warning label to be analyzed is within the set of standard left distances of child warning labels, perform a data comparison analysis on the left angle of the child warning label to be analyzed based on the set of standard left angles of child warning labels. S4013. If the left-side angle of the child warning label to be analyzed is within the standard set of left-side angles for child warning labels, the child warning label to be analyzed is installed correctly. S4014. If the left distance of the child warning label to be analyzed is not within the standard set of left distances for child warning labels, or the left angle of the child warning label to be analyzed is not within the standard set of left angles for child warning labels, the child warning label to be analyzed is not installed correctly. In this embodiment, as long as the data in the dataset to be analyzed for the child warning tag is within the identification dataset of the child warning tag, the installed child warning tag to be analyzed is compliant with the standard and can be put into use; otherwise, the child warning tag cannot be put into use.

[0023] Reference Figure 2 As shown, an automatic identification system for child warning labels based on lens cover production is used to implement the automatic identification method for child warning labels based on lens cover production as described above, including: An automatic identification terminal is used to control the data transmission and information interaction between various modules. The automatic identification terminal is also used to control the various modules to perform distance and angle analysis on the child warning label to be analyzed, and to determine whether the child warning label to be analyzed is installed correctly. An image capturing device is used to capture images of a child warning label detection fixture and a child warning label to be detected on the fixture, thereby obtaining an image of the child warning label detection fixture and an image of the child warning label to be detected. The coordinate determination module is used to perform position analysis on the shape of the child warning label detection fixture to obtain the coordinates of the left detection point and the right detection point of the child warning label. The standard data calculation module performs data calculation processing on the images in the standard image set of the child warning label based on the coordinates of the left detection point and the right detection point of the child warning label, and obtains the recognition data set of the child warning label. The data acquisition module performs data calculation and processing on the child warning label image to be detected in a two-dimensional rectangular coordinate system to obtain the data set of child warning labels to be analyzed; The status determination module compares the data set of the child warning labels with the data set of the child warning labels to be analyzed, and determines whether the child warning labels to be analyzed are installed.

[0024] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for automatic identification of child warning labels based on mirror cover production, characterized in that, include: The shape of the child warning label detection fixture is obtained, and the position analysis of the shape of the child warning label detection fixture is performed to determine the coordinates of the left detection point and the right detection point of the child warning label. A standard image set of child warning labels is obtained. Based on the coordinates of the left and right detection points of the child warning labels, data calculation and processing are performed on the standard images of the child warning labels to obtain a set of recognition data for the child warning labels. The set of recognition data for the child warning labels includes a set of standard distances to the left of the child warning labels, a set of standard angles to the left of the child warning labels, a set of standard distances to the right of the child warning labels, and a set of standard angles to the right of the child warning labels. Based on the coordinates of the left and right detection points of the child warning label, data calculation and processing are performed on the child warning label to be detected to obtain a data set of the child warning label to be analyzed. The data set of the child warning label to be analyzed includes the left distance, left angle, right distance, and right angle of the child warning label to be analyzed. Based on the identification dataset of child warning labels, the dataset of child warning labels to be analyzed is compared to determine whether the child warning labels to be analyzed are installed correctly.

2. The method for automatic identification of child warning labels based on mirror cover production according to claim 1, characterized in that, The steps of obtaining the shape of the child warning label detection fixture, performing positional analysis on the shape of the child warning label detection fixture, and determining the coordinates of the left and right detection points of the child warning label specifically include the following: Based on the image capturing equipment, the image of the child warning label detection tool is captured and processed to obtain an image of the child warning label detection tool. Feature extraction processing is performed on the image of the child warning label detection fixture to obtain the shape of the child warning label detection fixture; The shape of the child warning label detection fixture is calculated and processed to obtain the length and width data of the child warning label fixture. Based on the length and width data of the child warning label fixture, positional analysis is performed on the shape of the child warning label detection fixture to determine the coordinates of the left and right detection points of the child warning label.

3. The automatic identification method for child warning labels based on mirror cover production according to claim 2, characterized in that, The process of analyzing the shape of the child warning label detection fixture based on its length and width data to determine the coordinates of the left and right detection points of the child warning label includes the following steps: The length and width data of the child warning label fixture are calculated and processed to determine the center position of the child warning label fixture; Construct a two-dimensional rectangular coordinate system, where the origin of the two-dimensional rectangular coordinate system is the center position of the child warning label fixture, the X-axis of the two-dimensional rectangular coordinate system is the length direction of the child warning label fixture, and the Y-axis of the two-dimensional rectangular coordinate system is the width direction of the child warning label fixture; Calculate the coordinates of the left apex and right apex of the shape of the child warning label detection fixture in a two-dimensional rectangular coordinate system to obtain the coordinates of the left and right detection points of the child warning label.

4. The method for automatic identification of child warning labels based on mirror cover production according to claim 3, characterized in that, The process of obtaining a standard image set of child warning labels involves processing the standard images of the child warning labels based on the coordinates of the left and right detection points of the labels to obtain a set of recognition data. Specifically, this includes the following steps: Shape analysis was performed on the shape of the child warning label detection fixture to determine the area where the child warning label could be placed. Within the area where child warning labels can be placed, continuously move the child warning labels and perform image acquisition and processing to obtain a standard set of images of child warning labels; Place all images from the standard image set of child warning labels into a two-dimensional Cartesian coordinate system; In a two-dimensional rectangular coordinate system, the images in the standard image set of child warning labels are processed by using the coordinates of the left and right detection points of the child warning labels to obtain the recognition data set of child warning labels.

5. The automatic identification method for child warning labels based on mirror cover production according to claim 4, characterized in that, The process of obtaining the recognition data set of child warning labels by performing data calculations on the images in the standard image set of child warning labels in a two-dimensional rectangular coordinate system using the coordinates of the left and right detection points of the child warning labels specifically includes the following steps: In a two-dimensional rectangular coordinate system, the coordinates of the left and right vertices of the child warning labels in the standard image set of the child warning labels are calculated to obtain the standard coordinate set of the left side of the child warning labels and the standard coordinate set of the left side of the child warning labels. Based on the coordinates of the left and right detection points of the child warning label, the standard coordinate sets on the left and right sides of the child warning label are calculated and processed to obtain the standard distance sets on the left and right sides of the child warning label. Angle calculations are performed on the standard distance sets to the left and right of the child warning labels to obtain the standard angle sets to the left and right of the child warning labels.

6. The automatic identification method for child warning labels based on mirror cover production according to claim 5, characterized in that, The step of performing angle calculations on the standard distance sets to the left and right of the child warning labels to obtain the standard angle sets to the left and right of the child warning labels specifically includes the following steps: Based on the minimum value function, the standard distance set on the left and the standard distance set on the right of the child warning label are sorted to obtain the ordered set of the standard distance on the left and the ordered set of the standard distance on the right. Data filtering is performed on the ordered sets of left and right standard distances respectively to obtain the maximum and minimum values ​​of the left and right standard distances; Angle construction is performed using the coordinates of the left detection point of the child warning label, the maximum value of the left standard distance, and the minimum value of the left standard distance to obtain the set of left standard angles of the child warning label; Angle construction is performed using the coordinates of the right detection point of the child warning label, the maximum value of the standard distance on the right side, and the minimum value of the standard distance on the right side to obtain the set of standard angles on the right side of the child warning label.

7. The method for automatic identification of child warning labels based on mirror cover production according to claim 1, characterized in that, The process of calculating and processing data on the child warning labels based on the coordinates of the left and right detection points of the child warning labels to obtain the data set of child warning labels to be analyzed specifically includes the following steps: Based on the image capturing equipment, the image of the child warning label to be detected on the child warning label detection fixture is captured and processed to obtain the image of the child warning label to be detected; In a two-dimensional rectangular coordinate system, coordinate determination processing is performed on the image of the child warning label to be detected to obtain the coordinates of the left top corner and the right top corner of the child warning label to be detected; Based on the coordinates of the left and right detection points of the child warning label, the Euclidean distance is calculated between the coordinates of the left and right top corners of the child warning label to be detected, so as to obtain the left and right distances of the child warning label to be analyzed. Angle construction is performed using the coordinates of the right detection point of the child warning label and the distance to the right side of the child warning label to be analyzed, to obtain the right angle of the child warning label to be analyzed; Angle construction is performed using the coordinates of the left detection point of the child warning label and the distance to the left side of the child warning label to be analyzed, to obtain the left side angle of the child warning label to be analyzed.

8. The method for automatic identification of child warning labels based on mirror cover production according to claim 7, characterized in that, The identification dataset based on child warning labels involves data comparison processing of the dataset to be analyzed to determine whether the child warning labels are installed correctly. Specifically, this includes the following steps: Based on the standard distance set and standard angle set of the left side of child warning labels, a comparative analysis of the left side distance and left side angle of the child warning labels to be analyzed is performed to determine whether the child warning labels are installed correctly. Based on the standard distance set and standard angle set on the right side of child warning labels, a comparative analysis of the right-side distance and right-side angle of the child warning labels to be analyzed is performed to determine whether the child warning labels to be analyzed are installed correctly.

9. The method for automatic identification of child warning labels based on mirror cover production according to claim 8, characterized in that, The process of comparing and analyzing the left-side distance and left-side angle of child warning labels based on the standard distance set and standard angle set of the left side of the child warning labels to determine whether the child warning labels are installed correctly includes the following steps: The standard distance set to the left of child warning labels and the distance to the left of the child warning labels to be analyzed are judged and processed. If the left distance of the child warning label to be analyzed is within the set of standard left distances of child warning labels, a comparative analysis of the left angle of the child warning label to be analyzed is performed based on the set of standard left angles of child warning labels. If the left-side angle of the child warning label to be analyzed is within the standard set of left-side angles for child warning labels, the child warning label to be analyzed is installed correctly; If the left distance of the child warning label to be analyzed is not within the standard set of left distances for child warning labels, or if the left angle of the child warning label to be analyzed is not within the standard set of left angles for child warning labels, the child warning label to be analyzed is installed incorrectly.

10. An automatic identification system for child warning labels based on lens cover production, used to implement the automatic identification method for child warning labels based on lens cover production as described in any one of claims 1-9, characterized in that, include: An automatic identification terminal is used to control the data transmission and information interaction between various modules. The automatic identification terminal is also used to control the various modules to perform distance and angle analysis on the child warning label to be analyzed, and to determine whether the child warning label to be analyzed is installed correctly. An image capturing device is used to capture images of a child warning label detection fixture and a child warning label to be detected on the fixture, thereby obtaining an image of the child warning label detection fixture and an image of the child warning label to be detected. The coordinate determination module is used to perform position analysis on the shape of the child warning label detection fixture to obtain the coordinates of the left detection point and the right detection point of the child warning label. The standard data calculation module performs data calculation processing on the images in the standard image set of the child warning label based on the coordinates of the left detection point and the right detection point of the child warning label, and obtains the recognition data set of the child warning label. The data acquisition module performs data calculation and processing on the child warning label image to be detected in a two-dimensional rectangular coordinate system to obtain the data set of child warning labels to be analyzed; The status determination module compares the data set of the child warning labels with the data set of the child warning labels to be analyzed, and determines whether the child warning labels to be analyzed are installed.

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