Aoi appearance detection method and system for vehicle-mounted lcd screen, medium and equipment

Abstract

The present application relates to the technical field of LCD screen detection, in particular to an AOI appearance detection method, system, medium and equipment for a vehicle-mounted LCD screen, which comprises the following steps: A1, surface appearance detection; A2, electrode front and back detection; A3, appearance detection result merging processing; A4, LCD screen lighting electrical detection; and A5, LCD screen electrical quantity lighting detection result processing. The present application is ingeniously designed, intelligently screens out defects according to surface appearance defects and electrode ITO line damage defects, classifies the defects into three categories of A, B and C, reduces personnel misjudgment and omissions, greatly reduces the demand for manpower, improves the detection efficiency and accuracy, completes the comprehensive detection of the vehicle-mounted LCD screen in a short time, accurately identifies various appearance defects, and effectively avoids missed detection and misjudgment caused by visual fatigue and subjective judgment in manual detection.

Description

Technical Field

[0001] This invention relates to the field of LCD screen inspection technology, and in particular to AOI appearance inspection methods, systems, media, and equipment for automotive LCD screens. Background Technology

[0002] With the development of automotive intelligence, the use of in-vehicle LCD screens is increasing. The quality of their appearance and lighting inspections impacts user experience and driving safety. AOI (Automated Optical Inspection) technology, as a non-contact, high-precision inspection method, is becoming increasingly important, effectively detecting appearance defects such as scratches, cracks, bubbles, and dirt. The integration of AOI inspection systems with automated production equipment and MES (Manufacturing Execution System) systems is improving, enabling automatic material handling, inspection, data transmission and analysis, and alarm prompts, thereby improving production efficiency and quality control. The development of automotive electronics and intelligence, leading to increased use of in-vehicle LCD screens and higher requirements for their quality and reliability, is driving the market demand for AOI inspection technology.

[0003] The existing AOI detection for in-vehicle LCD screens has the following defects:

[0004] 1. Slow inspection speed: Traditional inspection methods require manual visual inspection of the electrode ITO (Indium Tin Oxide) and the appearance defects on the product surface under a microscope. This is time-consuming and labor-intensive, slow in speed, and prone to missed detections, which cannot meet the needs of the production line.

[0005] 2. Poor reliability: Since visual inspection can only detect and judge defects that are visible to the naked eye, it is difficult to accurately distinguish the categories of appearance defects, and there is a risk of misjudgment.

[0006] 3. Lack of comprehensive judgment based on multiple factors: Traditional testing methods rely primarily on the detection of the lighting signal and the judgment of the appearance of the personnel. That is, if the lighting is OK and the appearance of the personnel is OK, the product is considered good. However, hidden defects such as missing circuit ITO, cracks, and dirt in the appearance inspection lead to poor product quality in the later stages. Summary of the Invention

[0007] This invention addresses the problems of existing technologies by providing an AOI (Automated Optical Inspection) method, system, medium, and equipment for the appearance inspection of vehicle-mounted LCD screens.

[0008] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0009] This invention provides an AOI appearance inspection method for automotive LCD screens, comprising the following steps:

[0010] Step A1, Surface Appearance Inspection: The surface loading robot places the vehicle LCD screen to be tested on the surface platform and drives the surface platform to move into the field of view of the surface inspection camera. After receiving the image acquisition instruction, the machine PLC performs image acquisition. After the acquisition is completed, the final result is output to the surface inspection UI host according to the preset surface data processing method.

[0011] Step A2, Electrode Front and Back Detection: After the surface appearance inspection is completed, the first synchronous detection of the electrode front and back is performed. The machine PLC receives the image acquisition command and performs image acquisition. After the first acquisition is completed, the final result is output to the appearance inspection UI host according to the preset data processing method. If it is necessary to inspect a dual-electrode vehicle LCD screen, the machine PLC sends a signal to control the appearance platform to move into place for the second synchronous detection of the electrode front and back. According to the preset appearance data processing method, the final result is output to the appearance inspection UI host.

[0012] Step A3, Merging and Processing of Appearance Inspection Results: After the surface inspection and the inspection of the front and back of the electrodes are completed, the final "union" result is given by the appearance inspection UI host as OK or NG; if the result is OK, the machine PLC sends a signal to Step A4 to perform the lamp lighting electrical test; if the result is NG, the machine PLC sends a signal to the unloading and placement in the C warehouse for processing.

[0013] Step A4, LCD screen lighting electrical test: The electrical test loading robot places the vehicle LCD screen that needs to be lit and tested at the electrical test station. The lighting program is controlled by power-on and electrical test AOI software to light up the screen. During the lighting process, the screen is flipped. The electrical test image acquisition camera collects the images of each frame during the flipping process. According to the preset electrical test data processing method, the final result is output to the lighting electrical test UI host.

[0014] Step A5: Processing of LCD screen power and light-up detection results: The light-up power test results of each workstation are transmitted to the light-up power test UI host for data summarization. Finally, the light-up power test UI host provides data consistent with the workstation results. If the result is OK, the machine PLC sends a signal to the unloading mechanism to place the OK product in warehouse A. If the result is NG, the machine PLC sends a signal to the unloading mechanism to place the NG product in warehouse B.

[0015] The appearance data processing method includes the following steps:

[0016] Step S1, Modeling for AOI Inspection of Model Appearance: Based on the name, resolution, and size parameters of the LCD screen model, set the corresponding model;

[0017] Step S2: Based on the established model of the corresponding machine type, set the parameters according to the inspection requirements for appearance defects in the MSA template and the corresponding process SOP.

[0018] Step S3, Appearance MSA Training and Trial Run Evaluation: Based on the defect categories of the selected appearance MSA template, collect corresponding defect images by running the test piece according to the parameter table for each defect, set the parameter details for defects outside the specifications, and set the corresponding parameters for defects within the specifications to the default OK.

[0019] Step S4: Output the AOI inspection defect types and results: The appearance inspection types include: a-appearance surface inspection, b-front electrode inspection and c-reverse electrode inspection. The final output result is: Output result Z = a∪b∪c.

[0020] The electrical measurement data processing method includes the following steps:

[0021] Step S5: If the UI host of the appearance inspection gives the final "union" result as OK, the output result is given to the lighting electrical test process to establish the electrical test model;

[0022] Step S6: Based on the established electrical testing machine model, set the parameters according to the lamp-lighting electrical testing MSA template and the corresponding process SOP for the detection requirements of lamp-lighting electrical testing defects.

[0023] Step S7: Based on the defect category of the selected electrical test MSA sample, collect corresponding defect images by running the test piece for each defect in the parameter table. Set the parameter details for defects outside the specifications, and set the corresponding parameters for defects within the specifications to the default OK.

[0024] Step S8: Output the AOI detection defect type and results: The lighting AOI detection type includes: A-side station A1 / A2, B-side station B1 / B2. The results are output separately and do not affect each other; the output result Z = A1, A2, B1, B2.

[0025] This invention also provides a system for AOI (Automated Optical Inspection) appearance inspection, comprising an appearance loading robot, an appearance platform, an electrical testing loading robot, a machine PLC, a transfer mechanism, an appearance inspection camera, an appearance inspection UI host, an electrical testing image acquisition camera, and an electrical testing UI host for lighting. The transfer mechanism includes a platform running X-axis and a platform running Q-axis. The appearance platform is mounted on the platform running Q-axis, which drives the appearance platform to rotate. The platform running X-axis drives the platform running Q-axis to reciprocate along the X-axis. The appearance loading robot places the vehicle-mounted LCD screen to be tested on the appearance platform. The transfer mechanism transfers the appearance platform to the appearance inspection camera station for appearance inspection and sends the inspection result to the appearance inspection UI host. If the inspection result is OK, the vehicle-mounted LCD screen is transferred to the electrical testing image acquisition camera station by the electrical testing loading robot for lighting, and the final result is output to the electrical testing UI host for lighting.

[0026] The appearance platform includes a base and six vacuum regions disposed on the vacuum base. The six vacuum regions include a first vacuum region, a second vacuum region, a third vacuum region, a fourth vacuum region, a fifth vacuum region, and a sixth vacuum region. The first vacuum region and the fourth vacuum region are located at the upper and lower corners of one side of the upper end face of the vacuum base, respectively. The third vacuum region and the sixth vacuum region are located at the upper and lower corners of the other side of the upper end face of the vacuum base, respectively. The second vacuum region and the fifth vacuum region are located at the upper and lower sides of the middle of the upper end face of the vacuum base, respectively.

[0027] The present invention also provides a computer storage medium storing computer instructions, which, when invoked, are used to execute the aforementioned AOI appearance inspection method for an in-vehicle LCD screen.

[0028] The present invention also provides an electronic device comprising: a processor; and a memory arranged to store computer-executable instructions, which, when executed, cause the processor to perform the aforementioned AOI appearance inspection method for an in-vehicle LCD screen.

[0029] The beneficial effects of this invention are:

[0030] This invention is ingeniously designed. By analyzing surface defects and ITO circuit damage in products, defects are intelligently screened and categorized into three compartments (A, B, and C), reducing human error and omissions. The appearance inspection uses a camera to capture high-definition original images of defects, detecting bonding defects that are difficult to discern visually, significantly reducing manpower requirements and improving inspection efficiency and accuracy. It can complete a comprehensive inspection of automotive LCD screens in a short time, accurately identifying various appearance defects such as scratches, cracks, bubbles, missing corners, and dirt. Defects as small as micrometers can be detected, effectively avoiding omissions and misjudgments caused by visual fatigue and subjective judgment during manual inspection. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the structure of the vehicle-mounted LCD screen of the present invention.

[0032] Figure 2 This is a flowchart of an AOI appearance inspection method for an in-vehicle LCD screen according to the present invention.

[0033] Figure 3 The flowcharts are for the appearance data processing method and the electrical test data processing method of the present invention.

[0034] Figure 4This is a schematic diagram of the structure of the appearance platform, the transfer mechanism, and the appearance inspection camera of the present invention.

[0035] Figure 5 This is a schematic diagram of the appearance platform of the present invention.

[0036] exist Figures 1 to 5 The reference numerals in the figures include:

[0037] 1. Platform operates on the X-axis; 2. Platform operates on the Q-axis; 3. Appearance inspection camera; 4. Base; 5. First vacuum zone; 6. Second vacuum zone; 7. Third vacuum zone; 8. Fourth vacuum zone; 9. Fifth vacuum zone; 10. Sixth vacuum zone. Detailed Implementation

[0038] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to embodiments and accompanying drawings. The content mentioned in the embodiments is not intended to limit the present invention. The present invention will be described in detail below with reference to the accompanying drawings.

[0039] Example 1

[0040] Embodiment 1 of this application provides an AOI appearance inspection method for an in-vehicle LCD screen, such as... Figure 2 As shown, it includes the following steps:

[0041] Step A1, Surface Appearance Inspection: The surface loading robot places the vehicle LCD screen to be tested on the surface platform and drives the surface platform to move into the field of view of the surface inspection camera. After receiving the image acquisition instruction, the machine PLC performs image acquisition. After the acquisition is completed, the final result is output to the surface inspection UI host according to the preset surface data processing method.

[0042] Step A2, Electrode Front and Back Detection: After the surface appearance inspection is completed, the first synchronous detection of the electrode front and back is performed. The machine PLC receives the image acquisition command and performs image acquisition. After the first acquisition is completed, the final result is output to the appearance inspection UI host according to the preset data processing method. If it is necessary to inspect a dual-electrode vehicle LCD screen, the machine PLC sends a signal to control the appearance platform to move into place for the second synchronous detection of the electrode front and back. According to the preset appearance data processing method, the final result is output to the appearance inspection UI host.

[0043] Step A3, Merging and Processing of Appearance Inspection Results: After the surface inspection and the inspection of the front and back of the electrodes are completed, the final "union" result is given by the appearance inspection UI host as OK or NG; if the result is OK, the machine PLC sends a signal to Step A4 to perform the lamp lighting electrical test; if the result is NG, the machine PLC sends a signal to the unloading and placement in the C warehouse for processing.

[0044] Step A4, LCD screen lighting electrical test: The electrical test loading robot places the vehicle LCD screen that needs to be lit and tested at the electrical test station. The lighting program is controlled by power-on and electrical test AOI software to light up the screen. During the lighting process, the screen is flipped. The electrical test image acquisition camera collects the images of each frame during the flipping process. According to the preset electrical test data processing method, the final result is output to the lighting electrical test UI host.

[0045] Step A5: Processing of LCD screen power and light-up detection results: The light-up power test results of each workstation are transmitted to the light-up power test UI host for data summarization. Finally, the light-up power test UI host provides data consistent with the workstation results. If the result is OK, the machine PLC sends a signal to the unloading mechanism to place the OK product in warehouse A. If the result is NG, the machine PLC sends a signal to the unloading mechanism to place the NG product in warehouse B.

[0046] Specifically, this invention is ingeniously designed. By analyzing surface defects and ITO electrode circuit damage, defects are intelligently screened and categorized into three compartments (A, B, and C), reducing human error and omissions. The appearance inspection uses a camera to capture high-definition original images of defects, detecting bonding defects that are difficult to discern visually, significantly reducing manpower requirements and improving inspection efficiency and accuracy. It can complete a comprehensive inspection of automotive LCD screens in a short time, accurately identifying various appearance defects such as scratches, cracks, bubbles, missing corners, and dirt. Defects as small as micrometers can be detected, effectively avoiding omissions and misjudgments caused by visual fatigue and subjective judgment during manual inspection.

[0047] In the embodiments of this application, such as Figure 3 As shown, the appearance data processing method includes the following steps:

[0048] Step S1, Modeling for AOI Inspection of Model Appearance: Based on the name, resolution, and size parameters of the LCD screen model, set the corresponding model;

[0049] Step S2: Based on the established model of the corresponding machine type, and referring to the MSA template and the SOP of the corresponding process, set the parameters for the inspection requirements of appearance defects, as shown in the table below:

[0050]

[0051]

[0052] Step S3, Appearance MSA Training and Trial Evaluation: Based on the defect categories of the selected appearance MSA templates, collect corresponding defect images using the parameter table for each defect. For defects outside the specifications, set detailed parameter settings; for defects within the specifications, set the corresponding parameters to default (OK). This avoids over-checking parameters and affecting the efficiency of manual review. Defect categories are as follows:

[0053] 1 Long side chipping L>1mm NG 2 Long side chipped corner D > 0.2 mm NG 3 Short side corner breakage D > 0.2 mm NG 4 Short side collapse L>1mm NG 5 ITO scratch L>0.2mm NG 6 Dirt D > 2mm NG 7 concave D > 0.15 mm NG 8 convex dots D > 0.15 mm NG 9 Liquid crystal leakage D > 0.05 mm NG 10 Electrode oxidation D > 1mm NG

[0054] Step S4: Output the AOI inspection defect types and results: The appearance inspection types include: a-appearance surface inspection, b-front electrode inspection and c-reverse electrode inspection. The final output result is: Output result Z = a∪b∪c.

[0055] In the embodiments of this application, such as Figure 3 As shown, the electrical measurement data processing method includes the following steps:

[0056] Step S5: When the result value obtained from step S4 is 1 (i.e., the result is OK), the output result is given to the lighting electrical test process. If the appearance inspection UI host gives the final "union" result as OK, the output result is given to the lighting electrical test process, and the electrical test model is established.

[0057] Step S6: Based on the established electrical testing machine model, and referring to the lamp-lighting electrical testing MSA template and the corresponding process SOP, set the parameters for detecting lamp-lighting electrical testing defects, as shown in the table below:

[0058]

[0059] Step S7: Based on the defect categories of the selected electrical test MSA sample, collect corresponding defect images using the parameter table for each defect. For defects outside the specifications, set detailed parameter settings; for defects within the specifications, set the corresponding parameters to default (OK) to avoid over-inspection and affecting the efficiency of manual review. Defect categories are as follows:

[0060] 1 Shining Point L>G84 NG 2 Dark spot D > 0.10 mm NG 3 cell foreign body D > 0.08 mm NG 4 G disconnection Not allowed NG 5 S-line disconnection Not allowed NG 6 X-ray Not allowed NG 7 Y-line Not allowed NG 8 White spots D > 0.10 mm NG 9 black spots D > 0.10 mm NG 10 TPC grid Not allowed NG

[0061] Step S8: Output the AOI detection defect type and results: The lighting AOI detection type includes: A-side station A1 / A2, B-side station B1 / B2. The results are output separately and do not affect each other; the output result Z = A1, A2, B1, B2.

[0062] The beneficial effects of this invention are as follows: Compared with the existing technology, this invention proposes an AOI inspection method for the appearance of an in-vehicle LCD screen. Based on the principle of intelligent defect calculation using a camera to acquire high-definition original images, a novel method for intelligently identifying appearance defects is proposed.

[0063] High detection accuracy: It can accurately identify a variety of appearance defects, such as scratches, cracks, bubbles, missing corners, dirt, etc. It can detect defects as small as micrometers, effectively avoiding missed detections and misjudgments caused by visual fatigue and subjective judgment in manual inspection.

[0064] Fast testing speed: It can complete the comprehensive testing of vehicle LCD screens in a short time. For example, the Tongguang semi-automatic medium-sized vehicle backlight automatic vision inspection machine takes about 10-15 seconds to test, which greatly improves production efficiency and meets the needs of large-scale production.

[0065] High stability: Once the testing parameters and standards are set, the AOI inspection system can stably and continuously perform testing according to the standards, unaffected by external factors, ensuring consistent testing quality for each vehicle LCD screen. Manual testing, on the other hand, struggles to maintain a stable testing level over extended periods. By adhering entirely to preset standards and procedures, it avoids discrepancies arising from personal experience and subjective biases in manual testing, resulting in more objective and impartial test results and providing a reliable basis for product quality assessment.

[0066] Data statistics and analysis functions: This feature allows for detailed recording and statistical analysis of inspection data, such as defect type, quantity, and location, and generates reports. Analyzing this data helps companies identify the causes of problems and defects in the production process, thereby optimizing production processes and improving product quality.

[0067] Cost reduction: Although equipment procurement and maintenance require certain costs, in the long run, AOI inspection technology can significantly reduce the workload and cost of manual inspection, while reducing the outflow of defective products due to misjudgment by manual inspection, thus reducing after-sales costs and damage to corporate reputation.

[0068] Example 2

[0069] Embodiment 2 of this application provides a system for an AOI (Automated Optical Inspection) method, which includes an appearance loading robot, an appearance platform, an electrical testing loading robot, a machine PLC, a transfer mechanism, an appearance inspection camera 3, an appearance inspection UI host, an electrical testing image acquisition camera, and an electrical testing UI host with lighting. The transfer mechanism includes a platform running X-axis 1 and a platform running Q-axis 2, as shown below. Figure 4As shown, the appearance platform is mounted on the platform's Q-axis 2, which drives the appearance platform to rotate. The platform's X-axis 1 drives the platform's Q-axis 2 to reciprocate along the X-axis. The appearance loading robot is used to place the vehicle-mounted LCD screen to be tested onto the appearance platform. The transfer mechanism is used to transfer the appearance platform to the workstation of the appearance inspection camera 3 for appearance inspection and send the inspection results to the appearance inspection UI host. If the inspection result is OK, the vehicle-mounted LCD screen is transferred to the workstation of the electrical testing image acquisition camera by the electrical testing loading robot for lighting. The final result is output to the lighting electrical testing UI host.

[0070] In the embodiments of this application, such as Figure 5 As shown, the appearance inspection platform includes a base 4 and six vacuum areas disposed on the vacuum base 4. The six vacuum areas include a first vacuum area 5, a second vacuum area 6, a third vacuum area 7, a fourth vacuum area 8, a fifth vacuum area 9, and a sixth vacuum area 10. The first vacuum area 5 and the fourth vacuum area 8 are located at the upper and lower corners of one side of the upper end face of the vacuum base 4, respectively. The third vacuum area 7 and the sixth vacuum area 10 are located at the upper and lower corners of the other side of the upper end face of the vacuum base 4, respectively. The second vacuum area 6 and the fifth vacuum area 9 are located at the upper and lower sides of the middle of the upper end face of the vacuum base 4, respectively. Each vacuum area is provided with multiple vacuum adsorption holes for adsorbing the vehicle-mounted LCD screen. Specifically, through the novel design of the appearance inspection platform, it is designed with 6 independent vacuum areas, which can meet the electrode design of the vehicle-mounted LCD screen in four directions (up, down, left, and right), while also meeting the A / B dual-channel operation process of the equipment, and is compatible with single / dual electrodes of vehicle-mounted LCD screens, thus enhancing the technical versatility.

[0071] Example 3

[0072] Embodiment 3 of this application provides a computer storage medium storing computer instructions. When the computer instructions are invoked, they are used to execute the aforementioned AOI appearance inspection method for an in-vehicle LCD screen.

[0073] Example 4

[0074] Embodiment 4 of this application provides an electronic device, which includes: a processor; and a memory arranged to store computer-executable instructions, which, when executed, cause the processor to perform the AOI appearance inspection method for an in-vehicle LCD screen.

[0075] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes, and modifications made to the above embodiments based on the present invention without departing from the scope of the present invention are within the scope of the present invention.

Claims

1. An AOI appearance inspection method for an in-vehicle LCD screen, characterized in that, Includes the following steps: Step A1, Surface Appearance Inspection: The surface loading robot places the vehicle LCD screen to be tested on the surface platform and drives the surface platform to move into the field of view of the surface inspection camera. After receiving the image acquisition instruction, the machine PLC performs image acquisition. After the acquisition is completed, the final result is output to the surface inspection UI host according to the preset surface data processing method. Step A2, Electrode Front and Back Detection: After the surface appearance inspection is completed, the first synchronous detection of the electrode front and back is performed. The machine PLC receives the image acquisition command and performs image acquisition. After the first acquisition is completed, the final result is output to the appearance inspection UI host according to the preset appearance data processing method. If it is necessary to inspect a dual-electrode vehicle LCD screen, the machine PLC sends a signal to control the appearance platform to move into place for the second synchronous detection of the electrode front and back. According to the preset appearance data processing method, the final result is output to the appearance inspection UI host. Step A3, Merging and Processing of Appearance Inspection Results: After the surface appearance inspection and the front and back electrode inspection are completed, the final "union" result is given by the appearance inspection UI host as OK or NG; if the result is OK, the machine PLC sends a signal to Step A4 to perform the lamp lighting electrical test. If the result is NG, the machine's PLC sends a signal to the unloading and placement in the C bin for processing. Step A4, LCD screen lighting electrical test: The electrical test loading robot places the vehicle LCD screen that needs to be lit and tested at the electrical test station. The lighting program is controlled by power-on and electrical test AOI software to light up the screen. During the lighting process, the screen is flipped. The electrical test image acquisition camera collects the images of each frame during the flipping process. According to the preset electrical test data processing method, the final result is output to the lighting electrical test UI host. Step A5: Processing of LCD screen spotlight detection results: The results of the spotlight electrical tests at each workstation are transmitted to the spotlight electrical test UI host for data summarization. Finally, the spotlight electrical test UI host provides data consistent with the workstation results. If the result is OK, the machine PLC sends a signal to the unloading mechanism to place the OK product into warehouse A. If the result is NG, the machine PLC sends a signal to the unloading mechanism to place the NG product into warehouse B. The appearance data processing method includes the following steps: Step S1, Modeling for AOI Inspection of Machine Appearance: Based on the name, resolution, and size parameters of the LCD screen model, set the corresponding model; Step S2: Based on the established model of the corresponding machine type, set the parameters according to the inspection requirements for appearance defects in the MSA template and the corresponding process SOP. Step S3, Appearance MSA Training and Trial Run Evaluation: Based on the defect categories of the selected appearance MSA template, collect corresponding defect images by running the test piece according to the parameter table for each defect, set the parameter details for defects outside the specifications, and set the corresponding parameters for defects within the specifications to the default OK. Step S4: Output the AOI inspection defect types and results: The appearance inspection types include: a-appearance surface inspection, b-front electrode inspection and c-back electrode inspection. The final output result is: output result Z=a∪b∪c; The electrical measurement data processing method includes the following steps: Step S5: If the UI host of the appearance inspection gives the final "union" result as OK, the output result is given to the lighting electrical test process to establish the electrical test model; Step S6: Based on the established electrical testing machine model, set the parameters according to the lamp-lighting electrical testing MSA template and the corresponding process SOP for the detection requirements of lamp-lighting electrical testing defects. Step S7: Based on the defect category of the selected electrical test MSA sample, collect corresponding defect images by running the test piece for each defect in the parameter table. Set the parameter details for defects outside the specifications, and set the corresponding parameters for defects within the specifications to the default OK. Step S8: Output the AOI detection defect type and results: The lighting AOI detection type includes: A-side station A1 / A2, B-side station B1 / B2. The results are output separately and do not affect each other. The output result is Z = A1, A2, B1, B2; The appearance platform includes a base and six vacuum zones disposed on the vacuum base. The six vacuum zones include a first vacuum zone, a second vacuum zone, a third vacuum zone, a fourth vacuum zone, a fifth vacuum zone, and a sixth vacuum zone. The first and fourth vacuum zones are located at the upper and lower corners of one side of the upper end face of the vacuum base, respectively. The third and sixth vacuum zones are located at the upper and lower corners of the other side of the upper end face of the vacuum base, respectively. The second and fifth vacuum zones are located at the upper and lower sides of the middle of the upper end face of the vacuum base, respectively. Each vacuum zone is provided with multiple vacuum adsorption holes for adsorbing the vehicle-mounted LCD screen. The six independent vacuum zones are respectively used for the electrode design of the vehicle-mounted LCD screen in four directions (up, down, left, and right) and for the A / B dual-channel operation process of the equipment, which is compatible with single / dual electrodes of the vehicle-mounted LCD screen.

2. A system for AOI appearance inspection based on the vehicle-mounted LCD screen as described in claim 1, characterized in that: The system includes an appearance loading robot, an appearance platform, an electrical testing loading robot, a machine PLC, a transfer mechanism, an appearance inspection camera, an appearance inspection UI host, an electrical testing image acquisition camera, and an electrical testing UI host for lighting. The transfer mechanism includes a platform running X-axis and a platform running Q-axis. The appearance platform is mounted on the platform running Q-axis, which drives the appearance platform to rotate. The platform running X-axis drives the platform running Q-axis to reciprocate along the X-axis. The appearance loading robot places the vehicle-mounted LCD screen to be tested on the appearance platform. The transfer mechanism transfers the appearance platform to the appearance inspection camera station for appearance inspection and sends the inspection results to the appearance inspection UI host. If the inspection result is OK, the electrical testing loading robot transfers the vehicle-mounted LCD screen to the electrical testing image acquisition camera station for lighting. The final result is output to the electrical testing UI host for lighting. The appearance platform includes a base and six vacuum regions disposed on the vacuum base. The six vacuum regions include a first vacuum region, a second vacuum region, a third vacuum region, a fourth vacuum region, a fifth vacuum region, and a sixth vacuum region. The first vacuum region and the fourth vacuum region are located at the upper and lower corners of one side of the upper end face of the vacuum base, respectively. The third vacuum region and the sixth vacuum region are located at the upper and lower corners of the other side of the upper end face of the vacuum base, respectively. The second vacuum region and the fifth vacuum region are located at the upper and lower sides of the middle of the upper end face of the vacuum base, respectively.

3. A computer storage medium storing computer instructions, wherein when the computer instructions are invoked, they are used to execute the AOI appearance inspection method for an in-vehicle LCD screen as described in claim 1.

4. An electronic device, wherein, The electronic device includes: a processor; and a memory arranged to store computer-executable instructions, which, when executed, cause the processor to perform an AOI appearance inspection method for an in-vehicle LCD screen as described in claim 1.

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