A panel pixel defect repair method and device, electronic equipment and storage medium

Abstract

The application discloses a panel pixel defect repairing method and device, electronic equipment and storage medium, comprising: when the panel is positioned on the repairing equipment, the coordinate information of the target pixel with defects in the panel is acquired, the lighting image of each target pixel is acquired according to the coordinate information, the coordinate information represents the position of the target pixel, then the lighting image of the target pixel can be accurately acquired based on the coordinate information, and the subsequent repairing operation on the target pixel can also be accurately performed. After the lighting image is acquired, the defective sub-pixel and the defect type in the target pixel are determined according to the lighting image and the preset lighting detection image, the defective sub-pixel in the target pixel can be quickly determined by comparison between the two, and then the defective sub-pixel in the target pixel is repaired based on the defect type. The whole process of repairing the panel is automated, the efficiency and success rate of panel repairing can be improved, and the production cost required for manual panel repairing is also saved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of panel processing, and in particular to a panel pixel defect repair method and device, electronic equipment and a storage medium. BACKGROUND

[0002] In the manufacturing process of a display panel, due to abnormality of a thin film transistor or a low-temperature polysilicon substrate, a point defect or a line defect can be generated. For example, a common bad point at present is a pixel bright spot with a color brightness higher than a normal value, and thus repair of the bad point is required. Repair plays a very important role in improving the yield of a display panel, and thus repair is performed at each engineering stage, and laser repair is a common repair method.

[0003] In the existing display panel laser repair process, manual implementation is generally performed. However, when panels are mass-produced, manual repair is slow and has high labor costs, and the repair reference content is also more, which can easily cause confusion and lead to repair failure, and also increases production costs. Therefore, manual repair of panels has problems of low repair efficiency, easy repair failure, and high production costs. SUMMARY

[0004] The present application provides a panel pixel defect repair method to solve the problem of panel pixel defect repair.

[0005] In a first aspect, the present application provides a panel pixel defect repair method, comprising:

[0006] obtaining coordinate information of target pixels with defects in a panel;

[0007] obtaining a point light image of each target pixel according to the coordinate information;

[0008] determining a defective sub-pixel in the target pixel and a defect type of the target pixel according to the point light image and a preset point light detection image;

[0009] repairing the defective sub-pixel in the target pixel based on the defect type.

[0010] In a second aspect, the present application provides a panel pixel defect repair device, comprising:

[0011] an information obtaining module configured to obtain coordinate information of target pixels with defects in a panel;

[0012] a point light image obtaining module configured to obtain a point light image of each target pixel according to the coordinate information;

[0013] The bad sub-pixel determination module is configured to determine a bad sub-pixel in the target pixel and a bad type of the target pixel according to the lighting image and a preset lighting detection image.

[0014] The pixel repair module is configured to repair the bad sub-pixel in the target pixel based on the bad type.

[0015] In a third aspect, the present application provides an electronic device, which comprises:

[0016] at least one processor; and

[0017] a memory in communication with the at least one processor; wherein

[0018] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the panel pixel bad repair method of the first aspect of the present application.

[0019] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer instructions for enabling a processor to execute the panel pixel bad repair method of the first aspect of the present application when executed.

[0020] The embodiments of the present application provide a panel pixel bad repair method, which comprises: when a panel is positioned on a repair device, obtaining coordinate information of a target pixel with a bad in the panel, obtaining a lighting image of each target pixel according to the coordinate information, the coordinate information representing the position of the target pixel, so that the lighting image of the target pixel can be accurately obtained based on the coordinate information, and the target pixel can be accurately repaired subsequently. After the lighting image is obtained, a bad sub-pixel in the target pixel is determined according to the lighting image and a preset lighting detection image. Since the target pixel has a bad, the lighting image is usually different from the lighting detection image, and the bad sub-pixel in the target pixel and a bad type can be quickly determined by comparison between the two. Then, the bad sub-pixel in the target pixel is repaired based on the bad type. The process of repairing the panel is automated, which can improve the efficiency and success rate of repairing the panel, and save the production cost required for repairing the panel manually.

[0021] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to make the technical solutions in the embodiments of the present application clearer, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings described below are only some of the embodiments of the present application, and all other drawings obtained by those skilled in the art without any creative effort should fall within the scope of protection of the present application.

[0023] Figure 1 is a flowchart of a panel pixel bad repair method provided by Embodiment One of the present application;

[0024] Figure 2 is a panel pixel schematic diagram provided by Embodiment One of the present application;

[0025] Figure 3 is a flowchart of a panel pixel bad repair method provided by Embodiment Two of the present application;

[0026] Figure 4 is a pixel bad repair process schematic diagram provided by Embodiment Two of the present application;

[0027] Figure 5 is a display interface of a display lighting screen provided by Embodiment Two of the present application;

[0028] Figure 6 is a display interface of a display repair path provided by Embodiment Two of the present application;

[0029] Figure 7 is a display interface of a manual quality inspection provided by Embodiment Two of the present application;

[0030] Figure 8 is a structural schematic diagram of a panel pixel bad repair device provided by Embodiment Three of the present application;

[0031] Figure 9 is a structural schematic diagram of an electronic device provided by Embodiment Four of the present application. DETAILED DESCRIPTION

[0032] In order to make the technical solutions in the embodiments of the present application clearer, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings described below are only some of the embodiments of the present application, and all other drawings obtained by those skilled in the art without any creative effort should fall within the scope of protection of the present application.

[0033] Embodiment One

[0034] Figure 1A flowchart of a panel pixel defect repair method provided for Embodiment One of the present application, the embodiment can be applicable to the case of repairing the pixels with defects in the panel, the method can be executed by a panel pixel defect repair device, the panel pixel defect repair device can be realized in the form of hardware and / or software, and the panel pixel defect repair device can be configured in an electronic device. As shown in the figure, the panel pixel defect repair method comprises: Figure 1

[0035] S101, obtaining coordinate information of target pixels with defects in the panel.

[0036] The panel is generally a liquid crystal display panel. The panel is composed of a plurality of pixels, each pixel includes a plurality of sub-pixels, when there are sub-pixels that do not emit light or emit light abnormally in the pixel, the pixel has a defective light phenomenon. After the panel is produced, it often needs to go through a quality inspection procedure, in which the pixels with defective light phenomenon, i.e. target pixels, are generally determined by manual or equipment, and the coordinate information of the target pixels is recorded.

[0037] After the coordinate information is determined, it can be recorded in the production system, and when the panel enters the repair stage, the coordinate information of the target pixels with defects in the panel can be obtained from the production system.

[0038] When the panel is just loaded onto the repair device, the size of the panel is used to adjust and correct the position of the panel, for example, a coordinate system for a certain panel is set in the repair device, and when adjusting the position of the panel, the edge of the panel is made to coincide with the XY axis position of the coordinate system established by the repair device. After the position of the panel is adjusted and corrected, the panel can be positioned on the repair device, i.e. the panel is fixed relative to the repair device.

[0039] S102, obtaining a lighting image of each target pixel according to the coordinate information.

[0040] The coordinate information represents the position of the target pixel, based on the coordinate information, the lighting image of the target pixel can be accurately obtained, and the subsequent repair operation of the target pixel can also be accurately performed. Each target pixel corresponds to at least one coordinate information, and the coordinate information can be the coordinate of the center position of the target pixel.

[0041] The lighting image is the image of the target pixel after the circuit is powered on and lit, specifically, it can be the overall image of a pixel, or the image of a single sub-pixel in the pixel.

[0042] ​Specifically, for each target pixel, the panel can be moved according to the coordinate information corresponding to the target pixel, so that the target sub-pixel is located in the shooting range of the image shooting device, and the bright image of the target pixel is obtained by the image shooting device. The image shooting device can be a camera with a focal length adjustment function, and a clear bright image of the target pixel can be obtained by adjusting the focal length.

[0043] S103, determining the defective sub-pixel in the target pixel and the defective type of the target pixel according to the bright image and the preset bright detection image.

[0044] Since the target pixel is a pixel with a defective sub-pixel, the bright image of the target pixel is usually different from the bright detection image. By comparing the two, the defective sub-pixel in the target pixel can be quickly determined.

[0045] In a panel, each pixel includes the same type and number of sub-pixels, and each pixel includes at least 2 sub-pixels.

[0046] In an optional embodiment, the bright image is the image after each sub-pixel is lit, and the determination of the defective sub-pixel in the target pixel according to the bright image and the preset bright detection image includes: determining the corresponding bright image and the preset bright detection image for each sub-pixel in the target pixel; judging whether the bright image is abnormal according to the bright image and the preset bright detection image; if so, determining the sub-pixel as a defective sub-pixel, and determining the defective type based on the defective sub-pixel in the target pixel; if not, determining the sub-pixel as a normal sub-pixel. In this example, the preset bright detection image is the image after a single normal light-emitting sub-pixel is lit.

[0047] In another optional embodiment, the bright image is the image after each pixel is lit, and the preset bright detection image is the image when part of the sub-pixels of a pixel emit abnormally. Each preset bright detection image corresponds to a determined defective sub-pixel, and the number of preset bright images can be multiple. To determine the defective sub-pixel in the target pixel, the bright image can also be compared with the preset bright detection image. When it is found that the similarity between the two reaches a preset similarity, the defective sub-pixel in the target pixel can be determined. Of course, in this embodiment, the bright image is the image after each sub-pixel is lit. After obtaining the bright image of each sub-pixel, the bright images are sequentially spliced into a new bright image, which is compared with the preset bright detection image to determine the defective sub-pixel.

[0048] In an optional example, each pixel includes 4 types of sub-pixels, and the types of the sub-pixels are RGBW. The number of each type of sub-pixel is at least 1. For example, Figure 2As shown, the pixel 10 includes RGBW four type sub-pixels, and the number of each type of sub-pixel 11 is 1.

[0049] After determining the defective sub-pixel of the target pixel, the defective type of the target pixel can be determined based on the position of the defective sub-pixel, and the defective type of the target pixel can also be determined based on the number of defective sub-pixels, which can be set according to actual needs.

[0050] S104, repairing the defective sub-pixel in the target pixel based on the defective type.

[0051] After determining the defective sub-pixel of the target pixel, the position to be repaired can be determined. The control repair device moves to the position to be repaired, that is, the position of the defective sub-pixel, and then the corresponding repair method can be determined based on the defective type. The repair method can include cutting repair and connecting repair. The correspondence between the repair method and the defective type can be pre-set. For example, for the defective type ER1, the repair method is cutting repair, and for the defective type ER2, the repair method is connecting repair. The corresponding repair method is used for operation, and the automatic repair process is completed. It should be noted that the type of pixel defect generally includes point defect and line defect, but the name definition of the specific defective type is also set according to the actual situation and naming habit. The present embodiment is only used as an example for illustration.

[0052] The embodiment of the present application provides a panel pixel defect repair method, which comprises: when a panel is positioned on a repair device, obtaining coordinate information of a target pixel with a defect in the panel, obtaining a lighting image of each target pixel according to the coordinate information, and the coordinate information representing the position of the target pixel. Therefore, the lighting image of the target pixel can be accurately obtained based on the coordinate information, and subsequent repair operations on the target pixel can also be accurately performed. After obtaining the lighting image, the defective sub-pixel and the defective type in the target pixel are determined according to the lighting image and a preset lighting detection image. Since the target pixel has a defect, the lighting image is usually different from the lighting detection image. By comparing the two, the defective sub-pixel in the target pixel can be quickly determined, and then the defective sub-pixel in the target pixel is repaired based on the defective type. The whole process of repairing the panel is automated, which can improve the efficiency and success rate of panel repair, and also saves the production cost required for manual panel repair.

[0053] Embodiment two

[0054] Figure 3 A flowchart of a panel pixel defect repair method provided by the second embodiment of the present application is shown in the figure. The present embodiment is optimized on the basis of the above-mentioned first embodiment, and the panel pixel defect repair method comprises: Figure 3

[0055] ​S301, obtain coordinate information of a target pixel with a defect in the panel.

[0056] S302, obtain a lighting image of each target pixel according to the coordinate information.

[0057] S303, determine a defective sub-pixel in the target pixel and a defect type of the target pixel according to the lighting image and a preset lighting detection image.

[0058] S301-S303 are similar to S101-S103 in Embodiment One, and can refer to S101-S103 for details, which will not be described here.

[0059] S304, determine the number of target pixels in the panel.

[0060] The number of target pixels can be obtained from a production system. The coordinate information of the target pixels can also be recorded manually or by a device. When the panel is positioned on a repair device, the coordinate information of the target pixels with defects in the panel is obtained, and the number of coordinate information is taken as the number of defective sub-pixels.

[0061] S305, determine a repair method for each target pixel based on the defect type and the number of target pixels.

[0062] The repair method includes cutting repair and connection repair. The types of pixel defects generally include point defects and line defects, and both types of defects can be repaired by any one of the cutting repair and the connection repair. When repairing, the camera can be adjusted to a larger magnification, for example, a magnification of 50, to ensure the operation accuracy of the machine.

[0063] Specifically, to determine the repair method, it can be judged whether the number of target pixels is less than or equal to a preset number of dark spots; if yes, the repair method of all target pixels is determined as cutting repair; if no, the repair method of the target pixels with the number of dark spots is determined as cutting repair, and the repair method of the remaining target pixels is determined as connection repair.

[0064] Since cut-off repair prevents defective sub-pixels from emitting light, resulting in dark spots, a preset number of dark spots can be set to limit the number of target pixels for cut-off repair. For example, if the preset repair rule sets the number of dark spots to 3, then a panel is considered acceptable if the number of dark spots is 3 or less. Therefore, if the number of defective sub-pixels is 3 or less, all of them can be cut off for repair. If the number of defective sub-pixels is greater than 3, the maximum number of dark spots is used as the target number of pixels for cut-off repair. Thus, 3 defective sub-pixels can be cut off for repair, and the remaining defective sub-pixels can be repaired by connection. This ensures that the number of dark spots meets the requirements and avoids an excessive number of dark spots.

[0065] When determining the target pixels for cut-off repair, the positions of dark spots can be dispersed based on coordinate information to avoid clustering. For example, if a panel contains three defective sub-pixels A, B, and C arranged sequentially, and the repair rule requires a maximum of three dark spots in the panel, then cut-off repair can be used for all three sub-pixels. If the rule requires a maximum of two dark spots, cut-off repair can be used for sub-pixels A and C, while connection repair can be used for sub-pixels B. This satisfies the requirement for the number of dark spots during repair while preventing clustering, reducing the impact of dark spots on the panel, and providing a better user experience.

[0066] S306. Repair the defective sub-pixels in the target pixel based on the repair method.

[0067] If the repair method is cut-off repair, the repair device is controlled to cut off the line of the branch where the defective sub-pixel is located, and the compensation line in the target pixel is connected to the circuit.

[0068] like Figure 2 As shown, Figure 2 Each sub-pixel 11 corresponds to a branch line 12. When the repair method is cut-off repair, the repair device is controlled to cut off the line containing the defective sub-pixel, and then the compensation line in the target pixel is connected to the circuit. The compensation line is used to shunt current. Since the current of each pixel is fixed, when a defective pixel appears in a pixel and its branch line is cut off, the current in the branches of other sub-pixels will increase, and the brightness of other sub-pixels will increase, resulting in bright spots in the panel. The number of bright spots may be large (when the current in the branches of multiple sub-pixels in a pixel increases, the number of bright spots is large), which will also cause panel defects. It is equivalent to repairing one defect while introducing other more serious defects. To avoid this situation, such as Figure 2As shown, a compensation line 13 is connected in parallel with the branch in which the sub-pixel 11 is located in the circuit of the pixel. The compensation line functions to shunt, and the current value of the current shunted by the compensation line is equal to the current value of the current originally flowing through the cut-off branch. After the line of the branch in which the sub-pixel is located is cut off, the compensation line is connected into the circuit, and the current of the branch in which the other sub-pixels are located remains unchanged, and thus no bright spot appears in the panel.

[0069] If the repair method is connection repair, the repair device is controlled to cut off the control line of the defective sub-pixel and connect the defective sub-pixel to a normally-operating control line.

[0070] Each sub-pixel is provided with a control line, and the control line includes a display driving circuit for controlling the sub-pixel and driving the sub-pixel to emit light. Generally, the abnormal emission of the sub-pixel is related to the control line thereof. When the sub-pixel emits light abnormally, the control line of the defective sub-pixel can be cut off, and the defective sub-pixel can be connected to a normally-operating control line, i.e., the control line is replaced, so as to restore the emission of the defective sub-pixel to normal. Therefore, when the repair method corresponding to the target pixel is connection repair, the repair device can be controlled to cut off the control line of the defective sub-pixel and connect the defective sub-pixel to a normally-operating control line. The replaced control line can be a normally-operating control line adjacent to the defective sub-pixel.

[0071] S307, obtaining a repair image after the target pixel is lighted up.

[0072] That is, after the repair of the target pixel is completed, the target pixel is powered on and lighted up, and an image after the target pixel is lighted up is obtained as a repair image. The repair image can be obtained by a camera at a large magnification, for example, a magnification of 20.

[0073] S308, determining a repair detection image corresponding to the repair type.

[0074] For each repair type, a corresponding repair detection image can be set in advance.

[0075] S309, judging whether the repair is successful based on the repair image and the repair detection image.

[0076] If the repair method is cut-off repair, whether the repair is successful is judged by comparing the brightness of the repair image and the repair detection image.

[0077] After the cut-off repair, whether the repair is successful is judged by comparing the brightness of the repair image and the repair detection image. If the repair is successful, the brightness of the repair image should be similar to that of the repair detection image. Specifically, the brightness of the two is considered similar when the brightness deviation therebetween is within a preset deviation range, for example, the preset deviation range can be 5%-10%, and the value is determined according to actual requirements.

[0078] It should be noted that, in order to ensure the accuracy of the comparison result, the pixels corresponding to the repair detection image can be the same as the target pixels, that is, the same type of sub-pixel is cut off at the same position, and the compensation line is connected. In addition, as shown in Figure 2 , a current detection point 14 can be provided on the compensation line 13, and the current of the branch line where the compensation line 13 is located can be detected. By detecting the current of the compensation line 13, it can be accurately judged whether the line of the branch line where the defective sub-pixel is located is cut off, and whether the compensation line is correctly connected to the circuit, that is, whether the target pixel is successfully repaired can be accurately judged.

[0079] It should be noted that, as shown in Figure 2 , in the pixel 10, the part where the RGBW four sub-pixels 11 are located is the light-emitting part of the pixel 10, and the part where the branch line 12 and the compensation line 13 are located is the line part of the pixel 10.

[0080] If the repair method is connection repair, the similarity of the repair image and the repair detection image is compared to determine whether the repair is successful.

[0081] After connection repair, all sub-pixels in the target pixel can emit light normally, the repair image is the image of the target pixel after connection repair, and the repair detection image is the image when all sub-pixels in the pixel emit light normally. The repair image and the repair detection image can be compared, and a preset similarity threshold, for example, a similarity threshold of 90%, is used. When the similarity of the two reaches the similarity threshold, it is determined that the repair is successful. Specifically, the image similarity can be calculated in combination with brightness, contrast and structure.

[0082] Of course, in the above steps of detecting defective sub-pixels, repairing the panel and judging whether the repair is successful, corresponding processing modules can also be set in the system for processing. The processing module can obtain a trained processing model in advance through deep learning. The deep learning processing model can be a convolutional neural network model, a recurrent neural network, a generative adversarial network model, etc. Then, the trained processing model is used to detect defective sub-pixels, so that defective sub-pixels can be detected according to the light-emitting image, and at this time, the light-emitting detection image is not needed as a comparison; the trained processing model is used for panel repair, so that the line to be repaired can be automatically identified according to the position of the defective sub-pixel; the trained processing model is used to judge whether the repair is successful, so that whether the repair is successful can be judged according to the light-emitting image, and at this time, the repair detection image is not needed as a comparison.

[0083] S310, when it is determined that the repair is successful, an emitting image of the target pixel is obtained and sent to a preset display interface for manual judgment.

[0084] When it is determined that the repair is successful, the target pixel after repair is lighted up, and a light-emitting image of the target pixel is photographed, saved in the system, and sent to a preset display interface, which is the interface of a display where an artificial person is located. The artificial person makes a final judgment on the display interface to determine whether the target pixel is successfully repaired, thereby further improving the accuracy of panel pixel repair. Specifically, the target pixel coordinate information, the lighted-up image before repair, the line repair image, and the light-emitting image after repair can be sent to the display interface together. The light-emitting image after light-up can be obtained by a camera at a small magnification, for example, a magnification of 2. The panel pixel repair method provided in the embodiment can improve the accuracy of repair by comparing the images before and after repair to determine whether the repair is successful. The light-emitting image of the pixel after repair can be sent to an artificial person for review, which can further ensure the accuracy of repair. During the repair process, the defective sub-pixels are repaired according to the repair method and the position of the defective sub-pixels, so that the defective sub-pixels can be accurately repaired, and the repair efficiency and success rate of the defective sub-pixels can be improved. Specifically, by means of cutting repair and connecting repair, the bright spots in the panel can be effectively eliminated.

[0085] In order to clearly introduce the process of repairing the pixel with defects according to the present application, the following Figure 4 will be described, Figure 4 which is a schematic diagram of a pixel repair process, and the specific process is as follows:

[0086] S401, the panel is loaded into a repair device.

[0087] S402, the position of the panel is calibrated.

[0088] S403, the camera is moved to the position of the defective pixel to be repaired.

[0089] The initial zoom magnification of the camera is 2 times.

[0090] S404, the zoom magnification of the camera is set to 20 times and focused on the light-emitting part.

[0091] S405, the light-emitting part of the defective pixel is photographed to obtain a first image.

[0092] Specifically, the first image and the coordinate information can be sent to the display interface together. The first image is displayed in the display interface, and an example of the display interface is shown in Figure 5 . Figure 5 which is a display interface for displaying a lighted-up picture, the pixel includes four sub-pixels of RGBW, the R, G, B, and W block diagrams in the lower left of the interface are lighted-up picture thumbnails of the four sub-pixels, the upper left is a corresponding enlarged view, and clicking any lighted-up picture thumbnail can display the corresponding lighted-up picture enlarged view in the upper left. The coordinate information of the pixel currently being repaired, i.e., the coordinate information of the defective pixel, is displayed in the upper right.

[0093] S406, detecting the defective sub-pixel based on the first image and determining the type of the defective sub-pixel.

[0094] In this step, the defective detection module in the system can be executed, which is obtained by pre-training. Specifically, a single defective sub-pixel image, a single normal sub-pixel image, a pixel image with a defective sub-pixel, and a normal pixel image can be provided to train the defective detection module to identify images with different features. Then, when performing defective detection, the defective sub-pixel can be detected based on the first image, and the type of the defective sub-pixel can be determined.

[0095] S407, selecting a repair path (repair circuit, including circuit and control circuit) based on the repair method.

[0096] S408, setting the zoom ratio of the camera to 50 times, and moving the camera to the line part of the pixel to repair the pixel.

[0097] In this step, the repair module in the system can also be executed, which is obtained by pre-training through deep learning. Then, the corresponding repair method can be selected to repair the pixel.

[0098] S409, setting the zoom ratio of the camera to 20 times, and shooting the repaired repair image to obtain a second image. The second image can include an image of the repair path part, or can include an image of the light-emitting part.

[0099] Specifically, the second image can be sent to the display interface. The second image is displayed in the display interface. For example, the display interface is as shown in Figure 6 As shown in FIG. 6, it is a display interface for displaying the repair path. The left side of the interface is an enlarged view of the repair path (i.e., the second image). The pixel includes RGBW four sub-pixels. The R, G, B, and W block diagrams in the lower right corner of the interface are the lighting screen thumbnails of the four sub-pixels. When the thumbnail is clicked, the left side can display an enlarged view of the thumbnail. The switching between the lighting screen and the repair path in the enlarged view can be switched by the key icon. The upper right corner displays the coordinate information of the pixel currently repaired, i.e., the coordinate information of the defective pixel.

[0100] S410, judging whether the repair is successful based on the second image.

[0101] In this step, the repair detection module in the system can be executed, which is obtained by pre-training. The repair detection module is obtained by pre-training through deep learning. Then, whether the repair is successful can be judged based on the second image.

[0102] S411, setting the zoom ratio of the camera to 2 times, and shooting to obtain a third image.

[0103] S412, send the third image to the manual judgment interface for final judgment.

[0104] The first image, the third image and the coordinate information are displayed in a display interface, for example, the display interface is as shown in Figure 7 Figure 7 It is a display interface for manual quality inspection, the left side of the interface is an enlarged view, the right side of the interface is a pre-repair and post-repair lighting and repair path (line) screen, and a repair judgment result. The pre-repair and post-repair lighting and repair path screen can include thumbnails of multiple images (the first image and the third image), and clicking any thumbnail can display the corresponding enlarged view of the lighting screen on the left side. Manual clicking of the repair judgment result can select repair success or repair failure, and save the repair result in the system.

[0105] S413, remove the panel from the repair device.

[0106] Embodiment three

[0107] Figure 8 It is a structural schematic diagram of a panel pixel defect repair device provided in the third embodiment of the present application. As shown in Figure 8 The panel pixel defect repair device comprises:

[0108] An information acquisition module 801 is configured to acquire coordinate information of target pixels with defects in a panel.

[0109] A lighting image acquisition module 802 is configured to acquire a lighting image of each target pixel according to the coordinate information.

[0110] A defective sub-pixel determination module 803 is configured to determine defective sub-pixels in the target pixels and a defective type of the target pixels according to the lighting image and a preset lighting detection image.

[0111] A pixel repair module 804 is configured to repair the defective sub-pixels in the target pixels based on the defective type.

[0112] In an optional embodiment, each pixel comprises at least two sub-pixels, the lighting image is an image after each sub-pixel is lighted, and the defective sub-pixel determination module 803 comprises:

[0113] An image determination sub-module is configured to determine, for each sub-pixel in the target pixels, a corresponding lighting image and a preset lighting detection image.

[0114] An image comparison sub-module is configured to determine whether the lighting image is abnormal according to the lighting image and the preset lighting detection image, and if so, execute the content performed by the defective sub-pixel determination sub-module. ​

[0115] The defective sub-pixel determination sub-module is configured to determine the sub-pixel as a defective sub-pixel and determine a defective type based on the defective sub-pixel in the target pixel.

[0116] In an optional embodiment, the pixel repair module 804 comprises:

[0117] A target pixel quantity determination sub-module is configured to determine a quantity of the target pixels in the panel.

[0118] A repair method determination sub-module is configured to determine a repair method of each of the target pixels based on the defective type and the quantity of the target pixels.

[0119] A repair sub-module is configured to repair the defective sub-pixel in the target pixel based on the repair method.

[0120] In an optional embodiment, the repair method determination sub-module comprises:

[0121] A quantity judgment unit is configured to judge whether the quantity of the target pixels is less than or equal to a preset dark spot quantity; if yes, execute the content performed by the repair method determination first unit; if no, execute the content performed by the repair method determination second unit.

[0122] The repair method determination first unit is configured to determine that the repair method of all the target pixels is cut-off repair.

[0123] The repair method determination second unit is configured to determine that the repair method of the target pixels with the dark spot quantity is cut-off repair and determine that the repair method of the remaining target pixels is connection repair.

[0124] In an optional embodiment, the panel pixel defect repair apparatus further comprises:

[0125] A repair image acquisition module is configured to acquire a repair image after the target pixel is lighted up.

[0126] A repair detection image determination module is configured to determine a repair detection image corresponding to the repair type.

[0127] A repair judgment module is configured to judge whether the repair is successful based on the repair image and the repair detection image.

[0128] In an optional embodiment, the repair method comprises cut-off repair and connection repair, and the judgment of whether the repair is successful based on the repair image and the repair detection image comprises:

[0129] The first repair judgment sub-module is configured to judge whether the repair is successful by comparing the brightness of the repair image and the repair detection image if the repair mode is cut-off repair.

[0130] The second repair judgment submodule is used to determine whether the repair is successful by comparing the similarity between the repaired image and the repair detection image if the repair method is connection repair.

[0131] In an optional embodiment, the panel pixel defect repair device further includes:

[0132] The luminescent image acquisition module is used to illuminate the repaired target pixel and acquire the luminescent image of the target pixel when the repair is determined to be successful.

[0133] The image sending module is used to send the luminescent image to a preset display interface for manual judgment.

[0134] The panel pixel defect repair device provided in this embodiment of the invention can execute the panel pixel defect repair method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0135] Example 4

[0136] Figure 9 A schematic diagram of an electronic device 40 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0137] like Figure 9 As shown, the electronic device 40 includes at least one processor 41 and a memory, such as a read-only memory (ROM) 42 or a random access memory (RAM) 43, communicatively connected to the at least one processor 41. The memory stores computer programs executable by the at least one processor. The processor 41 can perform various appropriate actions and processes based on the computer program stored in the ROM 42 or loaded into the RAM 43 from storage unit 48. The RAM 43 may also store various programs and data required for the operation of the electronic device 40. The processor 41, ROM 42, and RAM 43 are interconnected via a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0138] A plurality of components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a magnetic disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0139] The processor 41 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 41 performs various methods and processes described above, such as the panel pixel defect repair method.

[0140] In some embodiments, the panel pixel defect repair method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded onto the RAM 43 and executed by the processor 41, one or more steps of the panel pixel defect repair method described above can be performed. Alternatively, in other embodiments, the processor 41 can be configured to perform the panel pixel defect repair method by any other appropriate means, such as by means of firmware.

[0141] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a complex programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0142] Computer programs for implementing the methods of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program, when executed, can cause instructions defined in the flow charts and / or block diagrams to be implemented. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, and partially on a remote machine or entirely on a remote machine or server.

[0143] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0144] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0145] The systems and techniques described herein can be implemented in a computing system that includes a back end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described herein, or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0146] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0147] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the present disclosure can be executed in parallel, executed in sequence, or executed in different orders, as long as the desired results of the technical solutions of the present disclosure can be achieved, and the present disclosure is not limited herein.

[0148] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for repairing defective pixels on a panel, characterized in that, The method comprises the following steps: acquiring coordinate information of target pixels with defects in a panel; acquiring a lighting image of each target pixel according to the coordinate information; determining defective sub-pixels in the target pixels and a defective type of the target pixels according to the lighting image and a preset lighting detection image; repairing the defective sub-pixels in the target pixels based on the defective type, specifically comprising the following steps: determining the number of the target pixels in the panel; determining a repair method of each target pixel based on the defective type and the number of the target pixels; and repairing the defective sub-pixels in the target pixels based on the repair method; the repair method comprises cutting repair and connecting repair, and the determination of the repair method of each target pixel based on the defective type and the number of the target pixels comprises the following steps: determining whether the number of the target pixels is less than or equal to a preset number of dark spots; if yes, determining that the repair method of all the target pixels is cutting repair; if no, determining that the repair method of the target pixels with the number of dark spots is cutting repair, and determining that the repair method of the remaining target pixels is connecting repair. 2.The panel pixel defect repair method of claim 1, wherein, Each pixel comprises at least two sub-pixels, the lighting image is an image after each sub-pixel is lighted, and the determination of the defective sub-pixels in the target pixels and the defective type of the target pixels according to the lighting image and the preset lighting detection image comprises the following steps: for each sub-pixel in the target pixels, determining a corresponding lighting image and a preset lighting detection image; determining whether the lighting image is abnormal according to the lighting image and the preset lighting detection image; if yes, determining that the sub-pixel is a defective sub-pixel, and determining a defective type based on the defective sub-pixels in the target pixels.

3. The panel pixel defect repair method according to any one of claims 1-2, wherein, After the repairing of the defective sub-pixels in the target pixels based on the defective type, the method further comprises the following steps: acquiring a repair image after the target pixels are lighted; determining a repair detection image corresponding to the repair type; determining whether the repairing is successful based on the repair image and the repair detection image. 4.The panel pixel defect repair method of claim 3, wherein, The repair method comprises cutting repair and connecting repair, and the determination of whether the repairing is successful based on the repair image and the repair detection image comprises the following steps: if the repair method is cutting repair, determining whether the repairing is successful by comparing the brightness of the repair image and the repair detection image; if the repair method is connecting repair, determining whether the repairing is successful by comparing the similarity of the repair image and the repair detection image. 5.The panel pixel defect repair method of claim 3, wherein, After the determination of whether the repairing is successful based on the repair image and the repair detection image, the method further comprises the following steps: when it is determined that the repairing is successful, lightening the target pixels after the repairing and acquiring a light-emitting image of the target pixels; sending the light-emitting image to a preset display interface for manual determination.

6. A panel pixel defect repair apparatus, characterized by, The method comprises the following steps: an information acquisition module, configured to acquire coordinate information of target pixels with defects in a panel; a lighting image acquisition module, configured to acquire a lighting image of each target pixel according to the coordinate information; The bad sub-pixel determination module is configured to determine a bad sub-pixel in the target pixel and a bad type of the target pixel according to the lighting image and a preset lighting detection image. The pixel repair module is configured to repair the bad sub-pixel in the target pixel based on the bad type. The panel pixel bad repair device is configured to perform the panel pixel bad repair method according to any one of claims 1-5.

7. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the panel pixel bad repair method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling a processor to perform the panel pixel bad repair method according to any one of claims 1-5 when executed by the processor.

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