Device and method for detecting lighting defect of LED backlight source lens

Abstract

The invention provides an LED backlight source lens lightening defect detection device and method.The detection device comprises a lightening module, an LED backlight source pressing strip carrier, an optical imaging module, an image collecting module, an image processing module and an optical film covering module, an LED backlight source array to be detected is arranged on the LED backlight source pressing strip carrier, and when detection is carried out, the LED backlight source pressing strip carrier is provided with an optical film covering module; an LED backlight source array to be detected is lightened by the lightening module, the optical imaging module captures lightening images of the LED backlight source to be detected on the optical film covering module from multiple angles, the image acquisition module acquires the lightening images acquired by the optical imaging module, and the image processing module analyzes and processes the lightening images. And the possibly existing lightening defect is identified.

Description

Technical Field

[0001] The present application relates to the technical field of image data generation and processing, specifically to the technical field of using image generation and processing for LED detection, and more specifically to a device and method for detecting lighting defects of LED backlight source lenses. Background Art

[0002] With the rapid development of the light-emitting display industry, the quality of LED backlight lens, as one of its key components, directly affects the performance and reliability of the entire display system. The current production process of LED backlight lenses may introduce a variety of defects. If these lens processing defects are not detected and eliminated in time, they will seriously affect the display effect and service life of the final product. At present, it is mainly completed through manual sampling, which is difficult to ensure the consistency and accuracy of the test results, greatly affecting the assembly line beat and production schedule scheduling, and defective products enter the next process. Defect detection automation is an urgent problem to be solved.

[0003] In the existing technology, for the appearance of LED backlight lens processing, AOI (Automated Optical Inspection) inspection equipment is mostly used to automatically identify and classify the defects of LED backlight finished products. However, the types of defects of LED backlight finished products are very diverse, including scratches, deviations, fogging, floating and other defects. When conducting inspections, it is necessary to inspect all possible defective images in turn. Since the brightness displayed on different images is different and the display texture is also different, the lens luminous imaging parameters are required to detect different inspection scenes, which reduces production capacity. In addition, the more images to be inspected, the longer the overall inspection time required. The extension of inspection time will seriously affect production capacity. Summary of the invention

[0004] The purpose of the present invention is to provide a detection device for LED backlight lens lighting defects (a detection device for LED backlight lens defects based on lighting images) and a method that can automatically detect LED backlight defects efficiently and accurately. The detection is performed in a dark box to provide a reliable image acquisition basis, and the image processing algorithm is analyzed in terms of accuracy, recall rate, etc., and the captured image is analyzed using the image processing algorithm of traditional computer vision (CV) + artificial intelligence computer vision (AI), and then the defects are identified and analyzed according to preset feature templates and threshold conditions, so that the type and severity of defects in the LED backlight source can be quickly and accurately identified, thereby improving the detection efficiency, accuracy and reliability.

[0005] The objectives of the present invention can be achieved through the following technical solutions: a device for detecting lighting defects of LED backlight source lenses, the device for detecting lighting defects of LED backlight source lenses comprising a lighting module, an LED backlight source pressure strip carrier, an optical imaging module, an image acquisition module, an image processing module and an optical coating module, the LED backlight source array to be tested is on the LED backlight source pressure strip carrier, the optical imaging module is located above the optical coating module, during detection, the LED backlight source array to be tested is illuminated by the lighting module, the optical coating module is located above the LED backlight source pressure strip carrier, the optical imaging module captures the lighting image of the LED backlight source to be tested on the optical coating module from multiple angles, the image acquisition module is connected to the optical imaging module, and collects the lighting image of the LED backlight source to be tested acquired by the optical imaging module, the image processing module is connected to the image acquisition module, and analyzes and processes the lighting image of the LED backlight source to be tested to identify possible lighting defects.

[0006] The purpose of the present invention can also be achieved by the following technical solutions: The device for detecting lighting defects of the LED backlight source lens also includes a dark box, in which the optical coating module and the lighting module are located. When performing detection, the lighting module selectively controls the LED backlight sources to be tested on the LED backlight source strip carrier to light up the staggered array at a certain distance in turn.

[0007] The device for detecting lighting defects of the LED backlight source lens also includes an arc shadowless lamp and a diffuser plate. The arc shadowless lamp is located in the dark box, and the diffuser plate is installed in front of the arc shadowless lamp to make the light irradiated on the LED backlight source to be tested more uniform.

[0008] The device for detecting lighting defects of the LED backlight source lens also includes a transmission module and a scanning gun. The transmission module is located on the equipment platform, and the LED backlight source pressure strip carrier is located on the transmission module. With the movement of the belt of the transmission module, the feeding and unloading of the dark box are realized. The scanning gun is located in front of the dark box, scans the LED backlight source to be tested on the LED backlight source pressure strip carrier, and records the position information of each LED individual.

[0009] The optical coating module is fixed at the end of the synchronous lifting shaft to achieve overall horizontal lifting. The optical imaging module is fixed directly above the transmission module and the distance is adjustable. The optical imaging module has a built-in sensor imaging unit fixed on the module bracket through an independent adjustment bracket. The module bracket is fixed to the top of the LED backlight source lens lighting defect detection device through a parallelogram bracket to achieve parallel lifting.

[0010] The image processing module first performs image capture, locates the position of the lit LED backlight to be tested, determines and captures the LED backlight lens imaging in the specified ROI area of ​​the optical coating module; and performs denoising and enhancement on the collected LED backlight lens imaging; then extracts feature information from the LED backlight lens imaging through edge detection and texture analysis methods; then uses different AI large models to match and classify the extracted features according to preset feature templates and threshold conditions, and identifies one or more possible lighting defects; finally, further classifies the identified defects, determines their type and severity, and outputs the test results.

[0011] The object of the present invention can also be achieved by the following technical solution: a method for detecting lighting defects of LED backlight source lens, the method for detecting lighting defects of LED backlight source lens adopts the above-mentioned device for detecting lighting defects of LED backlight source lens, comprising: Step 1, scanning the LED backlight source to be tested, and recording the light emitting position information of the LED light source to be tested; Step 2, when the LED backlight source pressure strip carrier is in the dark box, take a picture of the outline of the LED backlight source to be tested under the illumination of an arc shadowless lamp; Step 3, adjusting the height between the optical coating module and the LED backlight source layer carrier, and lighting up the LED light source in an interval sequence; Step 4, capturing the lighting image of the LED backlight source to be tested on the optical coating module from multiple angles and multiple positions, and selecting the detection area according to the imaging position on the optical coating module; Step 5: Analyze the captured image through CV (conventional computer vision) + AI (artificial intelligence computer vision) image processing algorithm to identify possible lighting defects; Step 6: Determine the type and severity of the defect based on preset standards, and output the result statistics to the user.

[0012] The purpose of the present invention can also be achieved by the following technical measures: In step 1, the LED backlight source staggered array to be tested is arranged on the clamping position of the LED backlight source pressure strip carrier, and the LED backlight source pressure strip carrier moves on the transmission module.

[0013] In step 3, the optical coating module adjusts the horizontal height between the optical coating module and the LED backlight source pressure strip carrier by the movement of the synchronous lifting shaft, and the defects of the LED backlight source to be tested are magnified and presented on the optical coating module according to the principles of light diffraction, refraction and reflection.

[0014] In step 5, the collected original image is subjected to denoising and enhancement preprocessing operations; the feature information in the LED backlight image is extracted through edge detection and texture analysis methods; and then, according to the preset feature templates and threshold conditions, different AI large models are used to match and classify the extracted features to identify one or more possible lighting defects.

[0015] The device and method for detecting LED backlight lens lighting defects in the present invention can light up the specified LED backlight to be detected; use a high-resolution camera to capture the image mapped on the optical coating after the LED backlight is lit from multiple angles and multiple positions; analyze the captured image through the CV+AI image processing algorithm to identify possible defects; determine the type and severity of the defect according to the preset standard, and output the result statistics to the user. The device and method for detecting LED backlight lens lighting defects can quickly and accurately identify defects in LED backlight sources, thereby improving the efficiency and accuracy of product quality control.

[0016] Compared with the prior art, the beneficial effects of the present invention include at least the following aspects: The present invention adopts a dark box with a built-in arc shadowless lamp layout, and adds a diffuser plate in front of the arc shadowless lamp to make the light irradiated on the LED backlight lens more uniform and better present the complete contour edge of the lens.

[0017] The present invention detects in a dark box to minimize external interference with the detection data. The optical coating module is placed above the LED backlight source. By adjusting the lifting distance, the lens defects are magnified and presented on the mask according to the principles of light diffraction, refraction and reflection, with uniform brightness and stable diffusion. The light source system of the present invention can provide highly uniform and stable display conditions, providing a reliable basis for subsequent image acquisition.

[0018] The present invention analyzes the image acquisition module in terms of resolution, sensitivity, etc. The test results show that the high-resolution camera can clearly capture the tiny defects of the LED backlight source, and the multi-angle and multi-position arrangement ensures comprehensive coverage of all viewing angles of the lens.

[0019] The present invention analyzes the accuracy and recall rate of the image processing algorithm. The experimental results show that the algorithm can accurately identify the lighting defects in the LED backlight source and has high detection speed and stability. In addition, through comparative analysis with traditional detection methods, the present invention has obvious advantages in detection efficiency, accuracy and reliability.

[0020] The present invention has conducted a survey on the ease of use and functionality of the user interface. The survey results show that most users believe that the user interface of the present invention is intuitive and easy to use, has complete functions, and can meet the use requirements of detection. Improvement suggestions are collected and considered and improved in future versions.

[0021] In summary, the present invention provides an effective device and method for detecting lighting defects of LED backlight source lenses, which not only improves the detection efficiency, but also ensures the accuracy and reliability of the detection. By implementing the present invention, the quality control level of LED backlight source products can be significantly improved, thereby improving the product quality standards of the entire LED lighting industry. The present invention optimizes and improves the technical details of LED backlight source lighting defect detection, and applies it to a wider range of fields and scenarios, which can promote the development and application of LED backlight source lighting defect detection technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 The present invention shows the overall appearance of a device for detecting lighting defects of a LED backlight source lens.

[0023] Figure 2 The present invention shows the internal optical layout structure diagram of a device for detecting lighting defects of LED backlight source lenses.

[0024] Figure 3 A simple dark box optical schematic diagram of a device for detecting lighting defects of LED backlight source lenses is shown.

[0025] Figure 4 A simplified schematic diagram of the motion layout of a device for detecting lighting defects of an LED backlight source lens is shown.

[0026] Figure 5 A simplified schematic diagram of the device layout of a device for detecting lighting defects of an LED backlight source lens is shown.

[0027] Figure 6 A schematic diagram of an LED backlight source lens misalignment array of a device for detecting lighting defects of LED backlight source lenses is shown.

[0028] Figure 7 A schematic diagram of a puzzle of adding a coating to an LED backlight lens and taking photos of an apparatus for detecting lighting defects of an LED backlight lens is shown.

[0029] Figure 8 A schematic diagram of the lens coating layer image of a device for detecting lighting defects of LED backlight source lenses is shown.

[0030] Fig. 9 A schematic diagram of an algorithm judgment and selection area of ​​a device for detecting lighting defects of an LED backlight source lens is shown.

[0031] Fig.10 The invention shows a lens effect diagram of a dark box shadowless lamp photographing device for detecting lighting defects of LED backlight source lenses.

[0032] Fig.11 A flow chart of a method for detecting lighting defects of a LED backlight source lens is shown.

[0033] In the figure: 111. Optical imaging module, 112. Synchronous lifting axis, 113. Optical coating module, 114. Equipment platform, 115. LED backlight strip carrier, 116. Transmission module, 130. Tested LED backlight lens, 131. Arc shadowless lamp, 132. Diffuser, 133. Dark box, 134. Optical imaging module, 141. Energized contact, 142. Scanning gun. DETAILED DESCRIPTION

[0034] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0035] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations and / or combinations thereof.

[0036] A device for detecting lighting defects of LED backlight lens comprises a scanning gun, a lighting module, a dark box, an arc shadowless lamp, a diffuser, an image acquisition module, an image processing module, a transmission module, an LED backlight strip carrier, an optical imaging module, a linkage control module and an optical coating module.

[0037] The lighting module uses multiple contacts to contact all LED backlight source power ports at the same time, and selectively controls the lighting of the LED backlight source in turn at a certain distance. The lighting module can selectively communicate and control each contact to energize independently according to the program setting requirements, reducing the mutual interference of adjacent LED lights in the dislocated array on the LED backlight source strip carrier.

[0038] There is an arc shadowless lamp inside the dark box, and a diffuser is installed in front of the arc shadowless lamp to make the light irradiated on the LED backlight lens to be tested more uniform. The dark box can isolate external light interference to the greatest extent, so that when taking pictures under the illumination of the arc shadowless lamp, a more complete image of the lens contour edge can be obtained.

[0039] The transmission module is placed on the equipment platform. The LED backlight source to be tested is staggered in an array on the LED backlight source pressure strip carrier, and the LED backlight source pressure strip carrier is located on the transmission module, and with the movement of the belt of the transmission module, the feeding and unloading of the dark box are realized.

[0040] The scanner is located in front of the dark box, scanning the LED backlight on the LED backlight strip carrier and recording the position information of each LED individual.

[0041] The optical coating module is fixed at the end of the synchronous lifting shaft to achieve the overall horizontal lifting. In view of the different types of LED backlight sources, such as those with refractive lenses, reflective lenses and those without lenses, in order to achieve better optical imaging effects, the present invention adopts an optical coating module with adjustable lifting, which can make the light of the LED lamp bead be imaged on the coating. The optical coating module with adjustable height ensures uniform light distribution and enhances effective imaging.

[0042] The linkage control module includes light source control, motor control, lighting control and transmission control.

[0043] The optical imaging module is fixed directly above the transmission module and the distance is adjustable. The optical imaging module has a built-in sensor imaging unit and is fixed to the module bracket through an independent adjustment bracket. The module bracket is fixed to the top through a parallelogram bracket to achieve parallel lifting. The optical imaging module captures the lit image of the LED backlight source from multiple angles by designing a specific light source system and a high-resolution camera.

[0044] The image acquisition module interacts with the lighting control and control communication signals in the linkage control module, and sends instructions to the optical imaging module to perform imaging and image acquisition; Figure 6 First, the lighting module is controlled to light up the sequence numbers 1, 4, 7, 10, 13, 16, 19, 22, 25... at intervals to control the communication to send instructions to link the optical imaging module to perform photo imaging and temporarily store the image; then the lighting module is controlled by communication to light up the sequence numbers 2, 5, 8, 11, 14, 17, 20, 23, 26... and sequence numbers 3, 6, 9, 12, 15, 18, 21, 24... respectively to take photos and complete the LED backlight lens on the entire LED backlight pressure strip carrier, and combine them into a complete image. Lighting up the backlight strip at intervals can reduce the light interference of adjacent LED backlight lenses after lighting up, making it easier to obtain an independent and complete ROI area.

[0045] The specific operations of the image processing module include: Loading the model: Before the image processing stage, the trained deep learning model (including its weights and structure) is loaded into memory.

[0046] Pre-processing: The image data obtained by the image acquisition module needs to be pre-processed to meet the input requirements of the model. This includes normalization, adjusting the image size, etc. In the present invention, since the model is trained on standardized images, the inference images also need to be subjected to the same standardized processing.

[0047] Forward propagation: The preprocessed input data is passed through the forward propagation process of the deep learning model. In this process, the data passes through each layer of the model, and the weights and activation functions are calculated to finally generate the output of the model.

[0048] Generate output: The output of the model is the result of inference, that is, the label of the predicted defect category and the probability distribution of the defect category.

[0049] Post-processing: In the present invention, the output of the model needs to be further processed to meet specific requirements, that is, to convert the defect category probability into a specific defect category label.

[0050] Output results: The inference results are output to files, displayed on the interface, and the results are uploaded to the data system server or MES system.

[0051] Re-judgment mechanism: Through the human intervention mechanism, the LED backlight lens images and inference results are added, deleted, checked and modified to provide more data sets for subsequent model upgrades and iterations.

[0052] The image capture automatically locates the lit LED backlight source based on the different light spot characteristics of different LED backlight strips and lenses mapped on the optical coating, judges and adjusts the threshold range with AI to capture the image of the ROI area according to the proportion of the light spot boundary.

[0053] Image preprocessing and feature extraction are to denoise and enhance the original image of the intercepted ROI area to improve the image quality. According to the feature selection of different elements in the image, boundary, shape detection and texture analysis are performed.

[0054] Defect recognition and classification are based on preset feature templates and threshold conditions. Different AI large models are used to match the extracted features, identify types that match the defect features to varying degrees, and then classify them using the large models. The results are uploaded to the data system and sent to the server or MES system for easy online reading.

[0055] When the device for detecting lighting defects of LED backlight source lenses of the present invention is working, the optical coating module is adjusted to a set height according to the optical characteristics of the LED backlight source, the lighting module selectively controls the lighting of the LED backlight source in turn at a certain distance, and the optical imaging module captures the image in time every time the LED backlight source is lit. After completing the imaging collection of all scanned and recorded LED backlight sources, the AI ​​algorithm then performs image processing based on regional segmentation.

[0056] The present invention uses an LED backlight pressure strip carrier to move with the belt on the transmission module to realize feeding and unloading inside the dark box; the dark box covers the LED backlight lens to be tested and the entire optical imaging module to minimize the interference of external light on the test data. In the dark box, first use a shadowless lamp to illuminate the lens and take a picture to obtain the outline of the lens to determine the degree of completeness of the shape. The optical coating module is fixed to the end of the synchronous lifting shaft to achieve overall horizontal lifting. The optical imaging module captures the lighting image of the LED backlight from multiple angles by designing a specific light source system and a high-resolution camera; then the captured image is analyzed by an image processing algorithm to identify possible lighting defects; finally, the type and severity of the defect are judged according to the preset standard, and the result is output. The present invention can accurately identify lighting defects in LED backlight sources, and has high detection speed and stability.

[0057] In a specific embodiment of the present invention, Figure 1 This is the overall appearance diagram of the device for detecting lighting defects of LED backlight source lenses according to the present invention. Figure 2 is a schematic diagram of the internal optical layout structure, where Figure 2 (a) includes the camera obscura, Figure 2 (b) is a schematic diagram of the internal optical instruments after removing the dark box. Figure 3 This is a simplified schematic diagram of the darkroom optics, where: Figure 3 (a) is the axonometric drawing. Figure 3 (b) is a cross-sectional view. Figure 3 The apparatus includes a tested LED backlight lens 130, an arc shadowless lamp 131, a diffuser plate 132, a dark box 133 and an optical imaging module 134. The dark box 133 covers the tested LED backlight lens 130 and the entire optical imaging module to minimize the interference of external light on the test data. A diffuser plate 132 is installed in front of the arc shadowless lamp 131 so that a photo can be taken under the illumination of the arc shadowless lamp 131 to obtain a more complete image of the outline of the tested LED backlight lens 130. The optical imaging module 134 is located above the dark box 133 to capture the lit image of the tested LED backlight lens 130.

[0058] Figure 4It is a simple schematic diagram of the motion layout of the present invention. The transmission module 116 is placed on the equipment platform. The LED backlight lens array to be tested is on the LED backlight pressure strip carrier 115, and the LED backlight pressure strip carrier 115 is located on the transmission module 116, and with the movement of the belt of the transmission module 116, the feeding and unloading of the dark box are realized. The scanning gun 142 is located in front of the dark box, and scans the LED backlight lens to be tested on the LED backlight pressure strip carrier 115, and records the position information of each individual LED. The lighting module uses multiple energized contacts 141 to contact all LED backlight power ports at the same time, and selectively controls the lighting of the LED backlight in turn at a certain distance.

[0059] Figure 5 It is a simple schematic diagram of the device layout. The transmission module is placed on the equipment machine 114. The optical coating module 113 is fixed to the end of the synchronous lifting shaft 112 to achieve overall horizontal lifting. The optical imaging module 111 is responsible for capturing the lighting image of the LED backlight source, which is the basis for defect detection. In the present invention, the optical imaging module 111 includes: a high-resolution line scan camera, which uses a high-precision, high-sensitivity industrial camera to ensure that the tiny defects of the LED backlight source can be clearly captured. In order to fully cover the display effects of all LED backlight sources on the tooling, the camera is arranged in multiple angles and multiple positions to achieve full coverage shooting. The algorithm compensates the synchronous trigger mechanism to ensure the coordinated work between the lighting module and the camera, avoiding image positioning errors caused by timing asynchronization.

[0060] like Figure 6 As shown, the LED backlight lens array to be tested is arranged on the LED backlight pressure strip carrier 115 . Figure 7 It shows a schematic diagram of adding a film to the LED backlight lens to take photos. Figure 8 A schematic diagram of the lens coating layer image of a device for detecting lighting defects of LED backlight lenses is shown. Figure 7 and Figure 8 It can be seen that a coating layer is installed above the LED backlight lens. When the LED backlight source emits light, a light spot appears on the coating layer, thereby presenting the defects of the LED backlight lens in the form of a coating spot on the coating layer. The lighting module controls the lighting of the specified lens, which can effectively filter the interference of light effects between lenses, directly affecting the accuracy of the detection results. The LED backlight source with a staggered array is used to emit light, and the optical coating module is used to ensure that the light is evenly distributed. Specifically, the LED backlight source staggered array can ensure the uniformity of light and reduce the interference of adjacent lamp beads. An optical coating module is installed above the LED backlight array, and the horizontal height between the optical coating module and the LED backlight source strip carrier is adjusted. According to the principles of light diffraction, refraction and reflection, the lens defects are magnified and presented on the optical coating module. Focus and homogenize the emitted light to avoid light spots and shadows, such as Fig.10 In addition, the height of the diffusion plate and the voltage and lighting position of the lighting module are precisely controlled by the linkage control module to meet the detection requirements of different types of LED backlight sources.

[0061] In this embodiment, the image processing algorithm is one of the core parts of the present invention, and its performance directly affects the accuracy and efficiency of defect detection. The image processing algorithm includes: Image capture: According to different light bars, the position of the illuminated lens is automatically located, and according to various attributes, the diffuser plate image of the specified region of interest (ROI) is determined and captured. Fig. 9 Schematic diagram of the area selected for algorithm judgment.

[0062] Image preprocessing: Perform denoising, enhancement and other preprocessing operations on the collected original images to improve image quality.

[0063] Feature extraction: Extract feature information from LED backlight images through edge detection, texture analysis and other methods.

[0064] Defect identification: Based on the preset feature templates and threshold conditions, different AI models are used to match and classify the extracted features to identify one or more possible lens defects.

[0065] Defect classification: further classify the identified defects to determine their type (such as scratches, deviations, fogging, floating height, etc.) and severity.

[0066] Result output: The test results are presented to the user in an intuitive manner, and can be optionally uploaded to the MES system and provide a detailed defect report.

[0067] In this embodiment, the user interface design is one of the important components of the present invention, and its design directly affects the user experience. In the present invention, the user interface includes: Main interface: displays the image and detection results of the LED backlight currently being detected.

[0068] Setting interface: allows users to set and adjust the relevant parameters of the light source system, image acquisition module and image processing algorithm.

[0069] Report interface: Generate detailed defect reports, including the location, type, severity and other information of the defects.

[0070] Help interface: Provides help documents and tutorial videos on how to use the device and method.

[0071] Fig.11A flow chart of a method for detecting lighting defects of a LED backlight source lens is shown. The method of detecting lighting defects of a LED backlight source lens of the present invention specifically comprises: Step 1: Scan the LED backlight source and record the light emitting position information of the LED light source. Arrange the lens dislocation array on the card position of the LED backlight source pressure strip carrier according to actual needs, and the LED backlight source pressure strip carrier moves on the transmission module.

[0072] Step 2: The LED backlight source pressure strip carrier is placed inside a dark box, and the lens outline is highlighted and photographed under the illumination of an arc-shaped shadowless lamp to find the appearance defects of the LED backlight source lens.

[0073] Step 3: Adjust the height between the optical coating module and the LED backlight strip carrier, and light up the LED light source in an interval sequence. The optical coating module adjusts the horizontal height between the optical coating module and the LED backlight strip carrier through the movement of the synchronous lifting shaft, and the lens defects are magnified and presented on the optical coating module according to the principles of light diffraction, refraction and reflection.

[0074] Step 4: The optical imaging module captures the image of the LED backlight source on the optical coating module from multiple angles and multiple positions, and selects the detection area according to the imaging position of the optical coating module.

[0075] Step 5: Analyze the captured image through CV (conventional computer vision) + AI (artificial intelligence computer vision) image processing algorithm to identify possible defects.

[0076] Step 6: Determine the type and severity of defects according to the preset standards, and output the statistical results to the user. Upload to the MES system and archive the information of each ROI area.

[0077] In this embodiment, the experimental verification and analysis are to verify the effectiveness and practicality of the present invention. The following is an analysis of some experimental results: The light source system performance test conducted a detailed performance test on the lighting module, including the evaluation of brightness uniformity, diffusion plate stability, etc. The test results show that the light source system of the present invention can provide highly uniform and stable display conditions, providing a reliable basis for subsequent image acquisition.

[0078] Image acquisition module performance evaluation: The image acquisition module was evaluated in terms of resolution and sensitivity. The test results show that the high-resolution camera can clearly capture the tiny defects of the LED backlight source, while the multi-angle and multi-position arrangement ensures comprehensive coverage of all viewing angles of the lens.

[0079] The performance analysis of the image processing algorithm is carried out in terms of accuracy and recall rate. The algorithm can accurately identify the lighting defects in the LED backlight source and has high detection speed and stability. In addition, through comparative analysis with traditional detection methods, the present invention has obvious advantages in detection efficiency, accuracy and reliability.

[0080] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein with equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0081] Except for the technical features described in the specification, all other technical features are known technologies to those skilled in the art.

Claims

1. A device for detecting lighting defects of LED backlight lens, characterized in that: The device for detecting lighting defects of LED backlight source lenses includes a lighting module, an LED backlight source strip carrier, an optical imaging module, an image acquisition module, an image processing module and an optical coating module. The LED backlight source array to be tested is on the LED backlight source strip carrier, and the optical imaging module is located above the optical coating module. During detection, the LED backlight source array to be tested is illuminated by the lighting module. The optical coating module is located above the LED backlight source strip carrier. The optical imaging module captures the lighting image of the LED backlight source to be tested on the optical coating module from multiple angles. The image acquisition module is connected to the optical imaging module to capture the lighting image of the LED backlight source to be tested acquired by the optical imaging module. The image processing module is connected to the image acquisition module to analyze and process the lighting image of the LED backlight source to be tested to identify possible lighting defects.

2. The device for detecting lighting defects of LED backlight source lenses according to claim 1, characterized in that: The device for detecting lighting defects of the LED backlight source lens also includes a dark box, in which the optical coating module and the lighting module are located. When performing detection, the lighting module selectively controls the LED backlight sources to be tested on the LED backlight source strip carrier to light up the staggered array at a certain distance in turn.

3. The device for detecting lighting defects of LED backlight source lenses according to claim 2, characterized in that: The device for detecting lighting defects of the LED backlight source lens also includes an arc shadowless lamp and a diffuser plate. The arc shadowless lamp is located in the dark box, and the diffuser plate is installed in front of the arc shadowless lamp to make the light irradiated on the LED backlight source to be tested more uniform.

4. The device for detecting lighting defects of LED backlight source lenses according to claim 2, characterized in that: The device for detecting lighting defects of the LED backlight source lens also includes a transmission module and a scanning gun. The transmission module is located on the equipment platform, and the LED backlight source pressure strip carrier is located on the transmission module. With the movement of the belt of the transmission module, the feeding and unloading of the dark box are realized. The scanning gun is located in front of the dark box, scans the LED backlight source to be tested on the LED backlight source pressure strip carrier, and records the position information of each LED individual.

5. The device for detecting lighting defects of LED backlight source lenses according to claim 4, characterized in that: The optical coating module is fixed at the end of the synchronous lifting shaft to achieve overall horizontal lifting. The optical imaging module is fixed directly above the transmission module and the distance is adjustable. The optical imaging module has a built-in sensor imaging unit fixed on the module bracket through an independent adjustment bracket. The module bracket is fixed to the top of the LED backlight source lens lighting defect detection device through a parallelogram bracket to achieve parallel lifting.

6. The device for detecting lighting defects of LED backlight source lenses according to claim 1, characterized in that: The image processing module first performs image capture, locates the position of the LED backlight source to be tested that has been lit, determines and captures the LED backlight source lens imaging of the area of ​​interest specified by the optical coating module; and performs pre-processing operations such as denoising and enhancement on the collected LED backlight source lens imaging; The feature information in the LED backlight lens imaging is then extracted through edge detection and texture analysis methods. Different AI large models are then used to match and classify the extracted features according to the preset feature templates and threshold conditions to identify one or more possible lighting defects. Finally, the identified defects are further classified to determine their type and severity, and the test results are output.

7. A method for detecting lighting defects of LED backlight lens, characterized in that: The method for detecting lighting defects of LED backlight source lens adopts the device for detecting lighting defects of LED backlight source lens according to claim 1, comprising: Step 1, scanning the LED backlight source to be tested, and recording the light emitting position information of the LED light source to be tested; Step 2, when the LED backlight source pressure strip carrier is in the dark box, take a picture of the outline of the LED backlight source to be tested under the illumination of an arc shadowless lamp; Step 3, adjusting the height between the optical coating module and the LED backlight source layer carrier, and lighting up the LED light source in an interval sequence; Step 4, capturing the lighting image of the LED backlight source to be tested on the optical coating module from multiple angles and multiple positions, and selecting the detection area according to the imaging position on the optical coating module; Step 5: Analyze the captured image through the image processing algorithm of traditional computer vision (CV) + artificial intelligence computer vision (AI) to identify possible lighting defects; Step 6: Determine the type and severity of the defect based on preset standards, and output the result statistics to the user.

8. The method for detecting lighting defects of LED backlight source lenses according to claim 7, characterized in that: In step 1, the LED backlight source staggered array to be tested is arranged on the clamping position of the LED backlight source pressure strip carrier, and the LED backlight source pressure strip carrier moves on the transmission module.

9. The method for detecting lighting defects of LED backlight source lenses according to claim 7, characterized in that: In step 3, the optical coating module adjusts the horizontal height between the optical coating module and the LED backlight source pressure strip carrier by the movement of the synchronous lifting shaft, and the defects of the LED backlight source to be tested are magnified and presented on the optical coating module according to the principles of light diffraction, refraction and reflection.

10. The method for detecting lighting defects of LED backlight source lenses according to claim 7, characterized in that: In step 5, the collected original image is subjected to preprocessing operations such as denoising and enhancement; The feature information in the LED backlight image is then extracted through edge detection and texture analysis methods. Then, based on the preset feature templates and threshold conditions, different AI large models are used to match and classify the extracted features to identify one or more possible lighting defects.

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