Tablet computer screen appearance detection method and system

Abstract

The present invention relates to the technical field of tablet computer detection, and specifically discloses a tablet computer screen appearance detection method and system, the system comprising: a data acquisition module, including a camera unit and an image recognition unit, the camera unit including a plurality of groups of high-definition cameras, for shooting appearance images of a tablet computer at multiple angles; a data calculation unit respectively calculates a screen defect index, a back panel defect index and an overall defect index of the tablet computer at different angles, and performs analysis, so that defects of the tablet computer at different angles can be identified and analyzed. Through such a setting, purely mechanized detection can avoid differences in the identification of screen defects due to subjective influence of detection personnel, and by combining multi-angle data for analysis, it can avoid the situation that some defects or traces are only observable at fixed angles, resulting in insufficient recognition of the specific defect by the machine, thereby improving the reliability and accuracy of the detection result.

Description

Technical Field

[0001] The present invention relates to the technical field of tablet computer detection, and in particular to a method and system for detecting the appearance of a tablet computer screen. Background Art

[0002] A tablet computer, also known as a portable computer, is a small, easy-to-carry personal computer that uses a touch screen as the basic input device. The touch screen allows users to perform tasks using a stylus or digital pen instead of a traditional keyboard or mouse. Tablet computers have unique features in appearance. They are as small and light as laptops, and can be moved to any location at any time, making them more mobile and flexible than desktop computers.

[0003] The last step in the processing of tablet computers is to inspect the appearance of their screens. In order to improve work efficiency, manual and machine inspections are usually carried out together. Before machine inspection, professional inspectors first check the back panel and appearance of the tablet computer to identify obvious appearance defects, such as shell deformation, scratches, button and interface abnormalities, etc., to quickly eliminate some obvious problems, and then use the machine to use the automatic optical inspection system to take high-definition photos of the tablet computer's screen, and use image processing technology to detect black spots, bright spots, color unevenness and other problems on the screen, thereby ensuring the accuracy of screen inspection.

[0004] In the prior art, when inspecting the appearance of a tablet computer screen, it is usually carried out by combining manual and machine inspection. When the machine takes a picture of the tablet computer screen, it usually takes a picture of the front of the screen. However, some defects or marks can only be observed at a fixed angle, resulting in insufficient recognition of such specific defects by the machine. In addition, since inspectors are subject to subjective influences during inspection, different inspectors may have different recognition and judgment of screen defects, so false detection or missed detection may occur, resulting in low reliability and accuracy of the inspection results. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for detecting the appearance of a tablet computer screen, so as to solve the following technical problems:

[0006] How to improve the reliability and accuracy of test results.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A method and system for detecting the appearance of a tablet computer screen, the system comprising:

[0009] The data acquisition module includes a camera unit and an image recognition unit. The camera unit includes multiple sets of high-definition cameras for capturing appearance images of the tablet computer at multiple angles.

[0010] The image recognition unit is used to recognize the appearance image of the tablet computer and store the recognized information data;

[0011] The data processing module includes a data calculation unit, an analysis and comparison unit, and an early warning unit. The data calculation unit is used to calculate the screen defect index, the back panel defect index, and the overall defect index of the tablet computer according to the information collected by the data collection module.

[0012] The analysis and comparison unit is used to analyze the screen defect index, the back panel defect index and the overall defect index of the tablet computer respectively, and judge whether the screen of the tablet computer is qualified according to the analysis results;

[0013] The early warning unit is used to issue an early warning when the tablet computer is judged to be unqualified and mark the tablet computer.

[0014] Furthermore, the calculation process of the data calculation unit includes:

[0015] By formula Calculate the tablet Screen defect index of shooting angles ;

[0016] in, For any shooting angle, is the number of white dots on the tablet screen at any shooting angle, The preset number of white dots in the tablet screen. for The standard value of To define a function, if ,but ,like ,but , is the number of black dots on the tablet screen at any shooting angle, The preset number of black dots in the tablet screen. is the distribution area of ​​black dots on the tablet screen at any shooting angle, is the total area of ​​the tablet screen, is the cloud spot area on the tablet screen at any shooting angle, for The standard value of and is the weight coefficient, which is set according to empirical fitting.

[0017] Furthermore, the analysis process of the analysis and comparison unit includes:

[0018] By calculating the screen defect index of the tablet at all shooting angles Screen defect index threshold Make a comparison;

[0019] If any Greater than , the system determines that the screen defect index of the tablet computer at this shooting angle is large, indicating that obvious defects can be seen on the screen at this angle, and determines that the quality of the tablet computer is unqualified, issues an early warning through the early warning module, and marks the tablet computer;

[0020] If all All less than The system determines that the screen defect index of the tablet computer is small at all shooting angles, indicating that no obvious defects can be observed on the tablet computer screen at any angle, and preliminarily determines that the quality of the tablet computer is qualified.

[0021] Furthermore, the calculation process of the data calculation unit also includes:

[0022] By formula Calculate the tablet Back panel defect index for each shooting angle ;

[0023] in, is the stain area on the back panel of the tablet computer at any shooting angle, is the crack area in the back panel of the tablet computer at any shooting angle, is the number of burrs in the tablet back panel at any shooting angle, The number of preset glitches on the tablet back panel at any shooting angle. is a burr distribution area influence function, which is obtained based on a test according to the influence of the burr distribution area on the backplane defect index. is the burr distribution area in the tablet back panel at any shooting angle, and is the weight coefficient, which is set according to the empirical data fitting.

[0024] Furthermore, the analysis process of the analysis and comparison unit also includes:

[0025] By calculating the back panel defect index of the tablet at all shooting angles The preset backplane defect index threshold Make a comparison;

[0026] If any Greater than , the system determines that the back panel defect index of the tablet computer at this shooting angle is large, indicating that obvious defects can be seen on the back panel at this angle, and determines that the quality of the tablet computer is unqualified, issues an early warning through the early warning module, and marks the tablet computer;

[0027] If all All less than The system determines that the defect index of the back panel of the tablet computer is small, and there are only slight defects or no defects. This means that no obvious defects can be observed on the back panel of the tablet computer at any angle. The system preliminarily determines that the quality of the tablet computer is qualified.

[0028] Furthermore, the analysis process of the analysis and comparison unit also includes:

[0029] When it is determined that there are no obvious defects on the back panel and screen of the tablet computer at any angle;

[0030] First, by the formula Calculate the total defect coefficient of the tablet computer at the i-th shooting angle ;

[0031] And through the formula Calculate the fluctuation value of the total defect coefficient of the tablet computer at all shooting angles ;

[0032] in, is the total number of shooting angles, For all The average value of For all The maximum value in For all The minimum value in is the error influence coefficient, which is set according to the empirical data fitting. To adjust the coefficient comparison table function, according to The influence of the value range of on the fluctuation value of the total defect coefficient at all shooting angles of the tablet computer is obtained based on the test. and is the weight coefficient, which is set according to empirical fitting.

[0033] Furthermore, the analysis process of the analysis and comparison unit also includes:

[0034] By calculating the fluctuation value of the total defect coefficient under all shooting angles of the tablet The preset fluctuation value threshold Make a comparison;

[0035] like ,The system judges that the dispersion coefficient of the total defect coefficient of the tablet computer at all shooting angles is large, which means that the subtle defects on the tablet computer are easy to be observed at certain shooting angles. It judges that the quality of the tablet computer is unqualified and issues an early warning;

[0036] like The system determines that the dispersion coefficient of the total defect coefficient of the tablet computer at all shooting angles is small, which means that the subtle defects on the tablet computer are not easy to be observed at each shooting angle, and the quality of the tablet computer is judged to be qualified.

[0037] A method for detecting the appearance of a tablet computer screen, the method comprising:

[0038] S1: Using a camera unit in a data acquisition module to capture appearance images of the tablet computer at multiple angles;

[0039] S2: Recognize the appearance image of the tablet computer through the image recognition unit, and store the recognized information data;

[0040] S3: calculating the screen defect index, the back panel defect index and the overall defect index of the tablet computer respectively according to the information collected by the data collection module through the data calculation unit;

[0041] S4: analyzing the screen defect index, the back panel defect index, and the overall defect index of the tablet computer respectively through the analysis and comparison unit, and judging whether the screen of the tablet computer is qualified according to the analysis results;

[0042] S5: When the tablet computer is judged to be unqualified, the early warning unit issues an early warning and marks the tablet computer.

[0043] Beneficial effects of the present invention:

[0044] (1) The present invention calculates the screen defect index, back panel defect index and overall defect index of the tablet computer at different angles through a data calculation unit and performs analysis, thereby identifying and analyzing the defects of the tablet computer at different angles. Through such a setting, purely mechanized detection can avoid differences in the identification of screen defects due to subjective influence of detection personnel, and by combining multi-angle data for analysis, it can avoid the situation where some defects or traces are only observable at a fixed angle, resulting in insufficient recognition of the machine for such specific defects, thereby improving the reliability and accuracy of the detection results.

[0045] (2) The present invention calculates the screen defect index of the tablet computer at all shooting angles. Screen defect index threshold By comparing, it is possible to accurately determine whether obvious defects can be seen on the screen of the tablet computer at different angles, and further determine whether the quality of the tablet computer is qualified based on the judgment result. Through such a setting, it can be avoided that some defects or traces are only observable at fixed angles, resulting in insufficient recognition of such specific defects when the machine only captures the front image of the tablet computer screen for image processing, thereby improving the accuracy and reliability of the detection results.

[0046] (3) The present invention calculates the back panel defect index of the tablet computer at all shooting angles. The preset backplane defect index threshold By comparing the size of the back panel defect index of the tablet computer at the shooting angle, it can be accurately determined whether there are obvious defects on the back panel at this angle, and further judged whether the quality of the tablet computer is qualified, thereby avoiding the situation where some defects or traces are only observable at a fixed angle, resulting in insufficient recognition of such specific defects when the machine only captures the front image of the tablet computer screen for image processing, thereby improving the accuracy and reliability of the detection results.

[0047] (4) The present invention calculates the fluctuation value of the total defect coefficient at all shooting angles of the tablet computer The preset fluctuation value threshold By comparing, the size of the discrete coefficient of the total defect coefficient at all shooting angles of the tablet computer can be determined based on the comparison results, and based on the size of the discrete coefficient of the total defect coefficient, it can be determined whether the subtle defects on the tablet computer are easy to be observed at certain shooting angles, thereby further judging the quality of the tablet computer and improving the accuracy and reliability of the detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] Figure 1 It is a schematic block diagram of a tablet computer screen appearance detection system in the present invention;

[0050] Figure 2 It is a flow chart of a method for detecting the appearance of a tablet computer screen in the present invention; DETAILED DESCRIPTION

[0051] 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.

[0052] See also Figure 1 As shown, in one embodiment, the present application provides a method and system for detecting the appearance of a tablet computer screen, the system comprising:

[0053] The data acquisition module includes a camera unit and an image recognition unit. The camera unit includes multiple sets of high-definition cameras for capturing appearance images of the tablet computer at multiple angles.

[0054] The image recognition unit is used to recognize the appearance image of the tablet computer and store the recognized information data;

[0055] The data processing module includes a data calculation unit, an analysis and comparison unit, and an early warning unit. The data calculation unit is used to calculate the screen defect index, the back panel defect index, and the overall defect index of the tablet computer according to the information collected by the data collection module.

[0056] The analysis and comparison unit is used to analyze the screen defect index, the back panel defect index and the overall defect index of the tablet computer respectively, and judge whether the screen of the tablet computer is qualified according to the analysis results;

[0057] An early warning unit, used to issue an early warning when the tablet computer is judged to be unqualified, and mark the tablet computer;

[0058] Through the above technical solution, this embodiment provides a data acquisition module, through the camera unit in the data acquisition module, the appearance images of the tablet computer at multiple angles can be photographed, and the appearance images of the tablet computer can be recognized by the image recognition unit, and the recognized information data can be stored, and then the screen defect index, back panel defect index and overall defect index of the tablet computer can be respectively calculated by the data calculation unit according to the information collected by the data acquisition module, and the screen defect index, back panel defect index and overall defect index of the tablet computer can be analyzed by the analysis and comparison unit, and whether the screen of the tablet computer is qualified can be comprehensively judged according to the analysis results;

[0059] By calculating the screen defect index, back panel defect index and overall defect index of the tablet computer at different angles and analyzing them through the data calculation unit, the defects of the tablet computer at different angles can be identified and analyzed. Through such a setting, purely mechanized detection can avoid differences in the identification of screen defects due to subjective influence of detection personnel, and by combining multi-angle data for analysis, it can avoid the situation where some defects or traces are only observable at fixed angles, resulting in insufficient recognition of such specific defects by the machine, thereby improving the reliability and accuracy of the detection results.

[0060] The calculation process of the data calculation unit includes:

[0061] By formula Calculate the tablet Screen defect index of shooting angles ;

[0062] in, For any shooting angle, is the number of white dots on the tablet screen at any shooting angle, The preset number of white dots in the tablet screen. for The standard value can be set based on the allowable error fitting in the empirical data. To define a function, if ,but ,like ,but , is the number of black dots on the tablet screen at any shooting angle, The preset number of black dots in the tablet screen. is the distribution area of ​​black dots on the tablet screen at any shooting angle, is the total area of ​​the tablet screen, is the cloud spot area on the tablet screen at any shooting angle, for The standard value can be set based on the allowable error fitting in the empirical data. and is the weight coefficient, which is set according to empirical fitting;

[0063] Through the above technical solution, this implementation provides a tablet computer Screen defect index of shooting angles , can be obtained by formula Calculation shows that, obviously, when the tablet The more black dots and white dots there are on the screen at a certain shooting angle, and the larger the cloud spot area and black dot distribution area, the greater the screen defect index of the tablet at that angle will be, which means that more obvious defects can be seen when observing at that angle. On the contrary, when the tablet is The fewer the number of black spots and white spots on the screen at a shooting angle, and the smaller the cloud spot area and black spot distribution area, the smaller the screen defect index of the tablet at that angle will be, which means that no obvious defects can be seen when observing at that angle;

[0064] By doing so, you can The screen defect index of each shooting angle is used to determine whether obvious defects can be observed at this angle. When it is determined that there are obvious defects at this angle, an early warning module is used to issue an early warning, thereby avoiding the situation where some defects or traces are only observable at fixed angles, resulting in insufficient recognition of the specific defect by the machine, thereby improving the accuracy and reliability of the detection results.

[0065] The analysis process of the analysis and comparison unit includes:

[0066] By calculating the screen defect index of the tablet at all shooting angles Screen defect index threshold Make a comparison;

[0067] If any Greater than , the system determines that the screen defect index of the tablet computer at this shooting angle is large, indicating that obvious defects can be seen on the screen at this angle, and determines that the quality of the tablet computer is unqualified, issues an early warning through the early warning module, and marks the tablet computer;

[0068] If all All less than , the system determines that the screen defect index of the tablet computer at all shooting angles is small, indicating that no obvious defects can be observed on the tablet computer screen at any angle, and preliminarily determines that the tablet computer is of qualified quality;

[0069] Through the above technical solution, this embodiment calculates the screen defect index of the tablet computer at all shooting angles. Screen defect index threshold By comparing, it is possible to accurately determine whether the tablet computer has obvious defects on the screen at different angles, and further determine whether the tablet computer is qualified based on the judgment result. By setting it in this way, it is possible to avoid the situation where some defects or traces are only observable at fixed angles, resulting in the machine failing to recognize such specific defects when only taking the front image of the tablet computer screen for image processing, thereby improving the accuracy and reliability of the detection results;

[0070] It should be noted that the above screen defect index threshold It can be set based on experience fitting.

[0071] The calculation process of the data calculation unit also includes:

[0072] By formula Calculate the tablet Back panel defect index for each shooting angle ;

[0073] in, is the stain area on the back panel of the tablet computer at any shooting angle, is the crack area in the back panel of the tablet computer at any shooting angle, is the number of burrs in the tablet back panel at any shooting angle, The number of preset glitches on the tablet back panel at any shooting angle. is a burr distribution area influence function, which is obtained based on a test according to the influence of the burr distribution area on the backplane defect index. is the burr distribution area in the tablet back panel at any shooting angle, and is the weight coefficient, which is set according to the empirical data fitting;

[0074] Through the above technical solution, this embodiment provides a tablet computer Back panel defect index for each shooting angle , can be obtained by formula Calculation shows that, obviously, when the tablet The more burrs there are in the back panel at each shooting angle, and the larger the stain area and crack area, the higher the back panel defect index of the tablet at that angle, which means that more obvious defect marks can be observed at that angle. On the contrary, when the tablet is The fewer the burrs in the back panel at each shooting angle, and the smaller the stain area and crack area, the lower the back panel defect index of the tablet at that angle, which means that no obvious defect marks can be observed at that angle.

[0075] By doing so, you can The back panel defect index of each shooting angle can make an accurate judgment on whether defects can be observed on the back panel appearance of the tablet computer at this angle, and issue a warning in time when it is judged that obvious defects can be observed at this angle, thereby ensuring the reliability and accuracy of the test results.

[0076] The analysis process of the analysis and comparison unit also includes:

[0077] By calculating the back panel defect index of the tablet at all shooting angles The preset backplane defect index threshold Make a comparison;

[0078] If any Greater than , the system determines that the back panel defect index of the tablet computer at this shooting angle is large, indicating that obvious defects can be seen on the back panel at this angle, and determines that the quality of the tablet computer is unqualified, issues an early warning through the early warning module, and marks the tablet computer;

[0079] If all All less than The system determines that the defect index of the back panel of the tablet computer is small, and there are only slight defects or no defects, which means that there are no obvious defects on the back panel of the tablet computer at any angle. The system preliminarily determines that the quality of the tablet computer is qualified;

[0080] Through the above technical solution, this embodiment calculates the back panel defect index of the tablet computer at all shooting angles. The preset backplane defect index threshold By comparing the back panel defect index of the tablet computer at the shooting angle, it can be accurately determined whether there are obvious defects on the back panel at the angle, and further determined whether the tablet computer is of qualified quality, thereby avoiding the situation where some defects or traces are only observable at a fixed angle, resulting in insufficient recognition of such specific defects when the machine only captures the front image of the tablet computer screen for image processing, thereby improving the accuracy and reliability of the test results;

[0081] It should be noted that the above preset backplane defect index threshold It can be set based on experience fitting.

[0082] The analysis process of the analysis and comparison unit also includes:

[0083] When it is determined that there are no obvious defects on the back panel and screen of the tablet computer at any angle;

[0084] First, by the formula Calculate the total defect coefficient of the tablet computer at the i-th shooting angle ;

[0085] And through the formula Calculate the fluctuation value of the total defect coefficient of the tablet computer at all shooting angles ;

[0086] in, is the total number of shooting angles, For all The average value of For all The maximum value in For all The minimum value in is the error influence coefficient, which is set according to the empirical data fitting. To adjust the coefficient comparison table function, according to The influence of the value range of on the fluctuation value of the total defect coefficient at all shooting angles of the tablet computer is obtained based on the test. and is the weight coefficient, which is set according to empirical fitting;

[0087] Through the above technical solution, this embodiment provides the total defect coefficient of the tablet computer at the i-th shooting angle: , can be obtained by formula The fluctuation value of the total defect coefficient at all shooting angles of the tablet computer is calculated and provided , can be obtained by formula It is calculated that, through such a setting, the discrete coefficient of the total defect coefficient at all shooting angles of the tablet computer can be calculated. If the discrete coefficient of the total defect coefficient is large, it means that there are still slight defects in the appearance of the tablet computer, and they can be observed at certain angles. If the discrete coefficient of the total defect coefficient is small, it means that although there are slight defects in the appearance of the tablet computer, they are not easy to be observed at each shooting angle, so as to further judge the quality of the tablet computer and improve the accuracy of the detection results.

[0088] The analysis process of the analysis and comparison unit also includes:

[0089] By calculating the fluctuation value of the total defect coefficient under all shooting angles of the tablet The preset fluctuation value threshold Make a comparison;

[0090] like ,The system judges that the dispersion coefficient of the total defect coefficient of the tablet computer at all shooting angles is large, which means that the subtle defects on the tablet computer are easy to be observed at certain shooting angles. It judges that the quality of the tablet computer is unqualified and issues an early warning;

[0091] like , the system determines that the dispersion coefficient of the total defect coefficient of the tablet computer at all shooting angles is small, indicating that the subtle defects on the tablet computer are not easy to be observed at each shooting angle, and the quality of the tablet computer is determined to be qualified;

[0092] Through the above technical solution, this embodiment calculates the fluctuation value of the total defect coefficient under all shooting angles of the tablet computer. The preset fluctuation value threshold By comparing, the size of the discrete coefficient of the total defect coefficient of the tablet computer at all shooting angles can be determined according to the comparison results, and according to the size of the discrete coefficient of the total defect coefficient, it can be determined whether the subtle defects on the tablet computer are easy to be observed at certain shooting angles, so as to further judge the quality of the tablet computer and improve the accuracy and reliability of the test results;

[0093] It should be noted that the above preset fluctuation value threshold The setting can be fitted according to empirical data.

[0094] See also Figure 2 As shown, a method for detecting the appearance of a tablet computer screen comprises:

[0095] S1: Using a camera unit in a data acquisition module to capture appearance images of the tablet computer at multiple angles;

[0096] S2: Recognize the appearance image of the tablet computer through the image recognition unit, and store the recognized information data;

[0097] S3: calculating the screen defect index, the back panel defect index and the overall defect index of the tablet computer respectively according to the information collected by the data collection module through the data calculation unit;

[0098] S4: analyzing the screen defect index, the back panel defect index, and the overall defect index of the tablet computer respectively through the analysis and comparison unit, and judging whether the screen of the tablet computer is qualified according to the analysis results;

[0099] S5: When the tablet computer is judged to be unqualified, the early warning unit issues an early warning and marks the tablet computer;

[0100] Through the above technical solution, when the method of this embodiment is used, first, the camera unit in the data acquisition module captures the appearance images of the tablet computer at multiple angles, then the image recognition unit recognizes the appearance images of the tablet computer, and stores the recognized information data, and the data calculation unit calculates the screen defect index, back panel defect index and overall defect index of the tablet computer according to the information collected by the data acquisition module, and then the analysis and comparison unit analyzes the screen defect index, back panel defect index and overall defect index of the tablet computer respectively, and judges whether the screen of the tablet computer is qualified according to the analysis results, and if the screen of the tablet computer is judged to be unqualified, the warning unit issues a warning and marks the tablet computer;

[0101] Through such a setting, by combining the analysis of the screen defect index, back panel defect index and overall defect index of the tablet computer at different angles, it is possible to make an accurate judgment on whether the appearance of the tablet computer has defects, and purely mechanized detection can avoid differences in the identification of screen defects due to subjective influences of the inspectors. By combining multi-angle data for analysis, it is possible to avoid the situation where some defects or traces are only observable at fixed angles, resulting in insufficient recognition of such specific defects by the machine, thereby improving the reliability and accuracy of the detection results.

[0102] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A tablet computer screen appearance detection system, characterized in that: The system comprises: The data acquisition module includes a camera unit and an image recognition unit. The camera unit includes multiple sets of high-definition cameras for capturing appearance images of the tablet computer at multiple angles. The image recognition unit is used to recognize the appearance image of the tablet computer and store the recognized information data; The data processing module includes a data calculation unit, an analysis and comparison unit, and an early warning unit. The data calculation unit is used to calculate the screen defect index, the back panel defect index, and the overall defect index of the tablet computer according to the information collected by the data collection module. The analysis and comparison unit is used to analyze the screen defect index, the back panel defect index and the overall defect index of the tablet computer respectively, and judge whether the screen of the tablet computer is qualified according to the analysis results; An early warning unit, used to issue an early warning when the tablet computer is judged to be unqualified, and mark the tablet computer; The calculation process of the data calculation unit includes: By formula Calculate the screen defect index δ of the tablet computer at the i-th shooting angle i ; Where i is any shooting angle, BD i is the number of white dots on the tablet screen at any shooting angle, BD s The preset white point number in the tablet screen, BD1 is BD i The standard value of f a (x) is the defined function. If x>1, then f a (x) = x, if x ≤ 1, then f a (x) = 1, HD i The number of black dots on the tablet screen at any shooting angle, HD s The default number of black dots on the tablet screen. i is the distribution area of ​​black dots on the tablet screen at any shooting angle, S is the total area of ​​the tablet screen, and YB i is the cloud spot area on the tablet screen at any shooting angle, and YB1 is YB i The standard value of , x1 and x2 are weight coefficients, which are set according to empirical fitting; The analysis process of the analysis and comparison unit includes: By calculating the screen defect index δ of the tablet computer at all shooting angles i and the screen defect index threshold δ a Make a comparison; If any δ i Greater than δ a , the system determines that the screen defect index of the tablet computer at this shooting angle is large, indicating that obvious defects can be seen on the screen at this angle, and determines that the quality of the tablet computer is unqualified, issues an early warning through the early warning module, and marks the tablet computer; If all δ i All less than δ0 i , the system determines that the screen defect index of the tablet computer at all shooting angles is small, indicating that no obvious defects can be observed on the tablet computer screen at any angle, and preliminarily determines that the tablet computer is of qualified quality; The calculation process of the data calculation unit also includes: By formula Calculate the back panel defect index μ of the tablet computer at the i-th shooting angle i ; Among them, WZ i is the stain area on the back panel of the tablet computer at any shooting angle, LH i is the crack area in the tablet back panel at any shooting angle, MC i is the number of burrs in the tablet back panel at any shooting angle, MC 0i is the number of burrs preset in the tablet back panel at any shooting angle, f x is the burr distribution area influence function, which is obtained based on the test according to the influence of the burr distribution area on the backplane defect index, MCT i is the burr distribution area in the back panel of the tablet computer at any shooting angle, y1 and y2 are weight coefficients, which are set according to the empirical data fitting; The analysis process of the analysis and comparison unit also includes: By calculating the back panel defect index μ of the tablet computer at all shooting angles i Respectively with the preset backplane defect index threshold μ x Make a comparison; If any μ i Greater than μ x , the system determines that the back panel defect index of the tablet computer at this shooting angle is large, indicating that obvious defects can be seen on the back panel at this angle, and determines that the quality of the tablet computer is unqualified, issues an early warning through the early warning module, and marks the tablet computer; If all μ i All less than μ x The system determines that the defect index of the back panel of the tablet computer is small, and there are only slight defects or no defects, which means that there are no obvious defects on the back panel of the tablet computer at any angle. The system preliminarily determines that the quality of the tablet computer is qualified; The analysis process of the analysis and comparison unit also includes: When it is determined that there are no obvious defects on the back panel and screen of the tablet computer at any angle; First, by the formula Calculate the total defect coefficient of the tablet computer at the i-th shooting angle And through the formula Calculate and obtain the fluctuation value r of the total defect coefficient of the tablet computer at all shooting angles; Where n is the total number of shooting angles. For all The average value of For all The maximum value in For all The minimum value in , β is the error influence coefficient, which is set according to the empirical data fitting, f L To adjust the coefficient comparison table function, according to The influence of the value range of on the fluctuation value of the total defect coefficient at all shooting angles of the tablet computer is obtained based on the test. z1 and z2 are weight coefficients, which are set according to empirical fitting.

2. A tablet computer screen appearance detection system according to claim 1, characterized in that: The analysis process of the analysis and comparison unit also includes: By comparing the fluctuation value r of the total defect coefficient under all shooting angles of the tablet with the preset fluctuation value threshold r x Make a comparison; If r>r x ,The system judges that the dispersion coefficient of the total defect coefficient of the tablet computer at all shooting angles is large, which means that the subtle defects on the tablet computer are easy to be observed at certain shooting angles. It judges that the quality of the tablet computer is unqualified and issues an early warning; If r <r x The system determines that the dispersion coefficient of the total defect coefficient of the tablet computer at all shooting angles is small, which means that the subtle defects on the tablet computer are not easy to be observed at each shooting angle, and the quality of the tablet computer is judged to be qualified.

3. A tablet computer screen appearance detection method, the method adopts a tablet computer screen appearance detection system as claimed in claim 1, characterized in that: The method comprises: S1: Using a camera unit in a data acquisition module to capture appearance images of the tablet computer at multiple angles; S2: Recognize the appearance image of the tablet computer through the image recognition unit, and store the recognized information data; S3: calculating the screen defect index, the back panel defect index and the overall defect index of the tablet computer respectively according to the information collected by the data collection module through the data calculation unit; S4: analyzing the screen defect index, the back panel defect index, and the overall defect index of the tablet computer respectively through the analysis and comparison unit, and judging whether the screen of the tablet computer is qualified according to the analysis results; S5: When the tablet computer is judged to be unqualified, the early warning unit issues an early warning and marks the tablet computer.

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