Industrial quality inspection mistake-proofing identification method, device, medium and equipment based on television frame operation

Abstract

The application discloses an industrial quality inspection mistake-proof identification method and device based on television frame operation, a medium and equipment, and relates to the technical field of quality inspection mistake-proof identification.The method comprises the following steps: acquiring image information of a work station area in real time through an image acquisition device; after obtaining the SN code of the television frame in the current work station area in the MES system, triggering quality inspection mistake-proof identification of the glue coating operation of the television frame; obtaining process requirement information of the television frame according to the SN code; performing image recognition on the acquired image information after triggering quality inspection mistake-proof identification, obtaining an image recognition result, confirming whether the glue coating operation of the television frame conforms to the process requirement information according to the image recognition result, and determining whether a re-coating operation is needed or whether the glue coating is qualified to enter the next process according to the confirmation result of the glue coating operation.The application is not limited to a single type of television frame, and is not limited to a glue dispensing device such as a glue dispensing pen, has better applicability, reduces processing cost, and improves product yield.

Description

Technical Field

[0001] This invention relates to the field of equipment processing technology, and in particular to an industrial quality inspection error prevention and identification method, device, medium and equipment based on TV frame operation. Background Technology

[0002] In television production, the primer adhesive is a key factor in ensuring the quality of screen bonding. Insufficient or incomplete application of the adhesive can lead to bonding problems, resulting in serious quality issues such as screen detachment, causing economic losses and damaging the brand reputation. Traditional industrial quality inspection relies on manual checks, but this method is subjective, inefficient, prone to errors, and lacks timeliness.

[0003] Currently, the application of adhesive to TV bezels is usually done using a dispensing pen. To determine whether the base coat is applied properly, the existing method is to use a custom-made dispensing pen with a pressure sensor. By comparing the base coat path traced by the dispensing pen with the bezel length of the TV model, it can be determined whether the base coat is applied properly. However, this method requires custom-made dispensing pens for each TV model, which is costly. Furthermore, due to the susceptibility of the dispensing pens to breakage and the long repair cycle, it is difficult to promote and use in practical production applications for a long time.

[0004] Therefore, there is an urgent need for a new industrial quality inspection error prevention and identification method based on TV frame operation. Summary of the Invention

[0005] In view of the above problems, the present invention is proposed to provide an industrial quality inspection error prevention identification method, apparatus, medium and equipment based on TV bezel operation that overcomes or at least partially solves the above problems.

[0006] Other features and advantages of the invention will become apparent from the following detailed description, or may be learned in part by practice of the invention.

[0007] According to a first aspect of the present invention, an industrial quality inspection error prevention identification method based on TV bezel operation is provided, the industrial quality inspection error prevention identification method based on TV bezel operation includes:

[0008] The image acquisition device collects image information of the workstation area in real time. After the MES system obtains the SN code of the TV frame in the current workstation area, it triggers the quality inspection and error prevention identification of the glue application operation of the TV frame.

[0009] The manufacturing process requirements of the TV frame are obtained based on the SN code;

[0010] The image information collected after triggering the quality inspection error prevention identification is subjected to image recognition to obtain the image recognition result. Based on the image recognition result, it is confirmed whether the glue application operation on the TV frame meets the process requirements. Based on the confirmation result of the glue application operation, it is determined whether a re-coating operation is required or whether the glue application is qualified before proceeding to the next process.

[0011] In some embodiments of the present invention, obtaining the process requirement information of the TV frame based on the SN code includes:

[0012] After the MES system obtains the SN code of the TV frame in the current workstation area, it reads the SN code through the MES system, records and configures the UUID code corresponding to the TV frame, and obtains the identity encoding information of the TV frame based on the SN code and the UUID code.

[0013] Based on the identity code information, the process requirements information corresponding to the TV frame is obtained through the MES system.

[0014] In some embodiments of the present invention, the image recognition of the image information collected after triggering quality inspection error prevention identification includes:

[0015] The image information collected after triggering the quality inspection error prevention identification is processed into frames to obtain continuous image frames;

[0016] The image frame is recognized using the YOLOv8 image recognition module to obtain the corner feature points of the TV frame and the glue application trajectory information of the glue application operation.

[0017] In some embodiments of the present invention, the information for confirming whether the adhesive application operation on the TV frame meets the process requirements includes:

[0018] Receive the process requirement information obtained by the MES system, the process requirement information including the target adhesive application trajectory and the number of adhesive applications for the TV frame;

[0019] Based on the image recognition results of the YOLOv8 image recognition module, it is determined whether the adhesive application trajectory information of the adhesive application operation matches the process requirement information;

[0020] If the adhesive application trajectory information of the adhesive application operation does not match the process requirement information, a recoating alarm is generated and fed back to the workstation area to perform a recoating operation according to the recoating alarm information.

[0021] If the adhesive application trajectory information of the adhesive application operation matches the process requirement information, then after confirming that the adhesive application is qualified, the current TV bezel can proceed to the next process.

[0022] According to a second aspect of the present invention, an industrial quality inspection error prevention and identification device based on TV bezel operation is provided, the industrial quality inspection error prevention and identification device based on TV bezel operation includes:

[0023] The identity detection module is used to collect image information of the workstation area in real time through the image acquisition device. After the MES system obtains the SN code of the TV frame in the current workstation area, it triggers the quality inspection and error prevention identification of the glue application operation of the TV frame.

[0024] The information acquisition module is used to acquire the process requirement information of the TV frame based on the SN code;

[0025] The identification and detection module is used to perform image recognition on the image information collected after triggering quality inspection error prevention identification, obtain image recognition results, confirm whether the glue application operation on the TV frame meets the process requirements based on the image recognition results, and determine whether a re-coating operation is required or proceed to the next process after confirming that the glue application is qualified based on the confirmation results of the glue application operation.

[0026] In some embodiments of the present invention, the information acquisition module is used for:

[0027] After the MES system obtains the SN code of the TV frame in the current workstation area, it reads the SN code through the MES system, records and configures the UUID code corresponding to the TV frame, and obtains the identity encoding information of the TV frame based on the SN code and the UUID code.

[0028] Based on the identity code information, the process requirements information corresponding to the TV frame is obtained through the MES system.

[0029] In some embodiments of the present invention, the identification and detection module is used for:

[0030] The image information collected after triggering the quality inspection error prevention identification is processed into frames to obtain continuous image frames;

[0031] The image frame is recognized using the YOLOv8 image recognition module to obtain the corner feature points of the TV frame and the glue application trajectory information of the glue application operation.

[0032] In some embodiments of the present invention, the identification and detection module is further configured to:

[0033] Receive the process requirement information obtained by the MES system, the process requirement information including the target adhesive application trajectory and the number of adhesive applications for the TV frame;

[0034] Based on the image recognition results of the YOLOv8 image recognition module, it is determined whether the adhesive application trajectory information of the adhesive application operation matches the process requirement information;

[0035] If the adhesive application trajectory information of the adhesive application operation does not match the process requirement information, a recoating alarm is generated and fed back to the workstation area to perform a recoating operation according to the recoating alarm information.

[0036] If the adhesive application trajectory information of the adhesive application operation matches the process requirement information, then after confirming that the adhesive application is qualified, the current TV bezel can proceed to the next process.

[0037] According to a third aspect of the present invention, a computer-readable storage medium is provided, wherein computer program instructions are stored therein, the computer program instructions being loaded and executed by a processor to perform the operations performed by the method described in any of the preceding claims.

[0038] According to a fourth aspect of the present invention, an electronic device is provided, including a processor and a memory, the memory storing computer program instructions executable by the processor, wherein when the processor executes the computer program instructions, it implements the instructions of any of the methods described above.

[0039] The technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0040] This invention provides an industrial quality inspection error prevention identification method, device, medium, and equipment based on TV bezel operation. The method determines whether to trigger quality inspection error prevention identification for the gluing operation on the TV bezel by obtaining the current TV bezel's serial number (SN). It then performs image recognition on the image information collected after triggering the error prevention identification to confirm whether the gluing operation on the TV bezel meets the process requirements. Based on the confirmation result, it can determine whether re-coating is needed or proceed to the next process after confirming the gluing is qualified. This method is not limited to a single model of TV bezel and is not limited to gluing equipment such as a dispensing pen, exhibiting excellent applicability, reducing processing costs, and improving product yield.

[0041] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a flowchart illustrating an industrial quality inspection error prevention and identification method based on TV bezel operation, provided in an embodiment of the present invention.

[0044] Figure 2 A reference diagram showing the identification area to be coated with adhesive;

[0045] Figure 3 This is a schematic diagram illustrating the principle structure of an industrial quality inspection error prevention and identification device based on TV frame operation, provided in an embodiment of the present invention. Detailed Implementation

[0046] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings.

[0047] The accompanying drawings illustrate various structural schematics according to embodiments of the present disclosure. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0048] In the context of this disclosure, when a layer / component is referred to as being "above" another layer / component, that layer / component may be directly above the other layer / component, or there may be an intermediate layer / component between them. Additionally, if a layer / component is "above" another layer / component in one orientation, then when the orientation is reversed, that layer / component may be "below" the other layer / component. In the context of this disclosure, similar or identical components may be denoted by the same or similar reference numerals.

[0049] To better understand the above technical solutions, the following will describe the above technical solutions in detail with reference to specific implementation methods. It should be understood that the embodiments of this disclosure and the specific features in the embodiments are detailed descriptions of the technical solutions of the present invention, rather than limitations on the technical solutions of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0050] Figure 1This is a flowchart illustrating an industrial quality inspection error prevention and identification method based on TV bezel operation provided by an embodiment of the present invention, as shown below. Figure 1 As shown, the industrial quality inspection error prevention and identification method based on TV bezel operation includes the following steps:

[0051] S1. The image information of the workstation area is collected in real time by the image acquisition device. After the MES system obtains the SN code of the TV frame in the current workstation area, the quality inspection and error prevention identification of the glue application operation of the TV frame is triggered.

[0052] In this embodiment of the invention, the image acquisition device is used to acquire image information of the workstation area where the TV bezel is located in real time. The image acquisition device may be, for example, a camera, a video recorder, or an image acquisition system. The image information acquired by the image acquisition device may be continuous picture frames or video information.

[0053] In this embodiment of the invention, after the MES system obtains the SN code of the TV frame in the current workstation area, it triggers the quality inspection and error prevention identification of the glue application operation of the TV frame, thereby starting to capture the collected image information at the current time node for subsequent image recognition, so as to confirm whether the glue application operation of the TV frame meets the process requirements.

[0054] S2. Obtain the process requirements information of the TV frame according to the SN code;

[0055] The embodiment of the present invention for obtaining the process requirement information of the TV frame based on the SN code includes: after the MES system obtains the SN code of the TV frame in the current workstation area, the MES system reads the SN code, records and configures the UUID code corresponding to the TV frame, and obtains the identity encoding information of the TV frame based on the SN code and the UUID code; and obtains the process requirement information corresponding to the TV frame through the MES system based on the identity encoding information.

[0056] In this embodiment of the invention, after each TV frame to be coated with adhesive arrives at the work station area, the SN code on the TV frame (usually located on the back of the TV frame) is scanned by a barcode scanning device and transmitted to the MES system. The MES system configures a UUID code (Universally Unique Identifier) ​​for the current TV frame and uses the SN code + UUID code as the identity encoding information of each TV frame for subsequent configuration of process requirement information.

[0057] S3. Perform image recognition on the image information collected after triggering quality inspection error prevention identification to obtain image recognition results. Based on the image recognition results, confirm whether the glue application operation on the TV frame meets the process requirements. Based on the confirmation results of the glue application operation, determine whether a re-coating operation is required or proceed to the next process after confirming that the glue application is qualified.

[0058] The embodiment of the present invention performs image recognition on the image information collected after triggering quality inspection error prevention identification, including: performing frame segmentation processing on the image information collected after triggering quality inspection error prevention identification to obtain continuous image frames; performing image recognition on the image frames based on the YOLOv8 image recognition module to obtain the corner feature points of the TV frame and the glue application trajectory information of the glue application operation in the image frames.

[0059] In this embodiment of the invention, the corner feature points of the TV bezel are the four corner points of the TV bezel back panel: upper left, upper right, lower left, and lower right. Connecting the four corner feature points of the TV bezel can form a reference rectangle. In this embodiment of the invention, the area formed by shifting the rectangle obtained from the image information inward and outward by 10 pixels respectively (see...) Figure 2 As shown, the area to be glued is the identification area, wherein the upper, right and lower areas of the identification area to be glued are the target glue application area, which is the area to be glued in the actual glue application operation (the location of the glue application trajectory on the TV bezel).

[0060] In the actual process of acquiring the image information of the TV frame, the TV frame may have positional offset or corner feature points may be obscured. This may cause the actual glue application trajectory to mismatch with the target glue application area. In order to reduce the recognition error, this embodiment of the invention tracks the coordinate position of corner feature points in the image information of multiple consecutive frames. If the offset distance of the coordinate position of the corner feature point exceeds 10 pixels for more than three consecutive frames, the corner feature point in the third frame is used as the new corner feature point to determine the target glue application area.

[0061] The present invention embodiment confirms whether the glue application operation on the TV frame meets the process requirements by: receiving the process requirements information obtained by the MES system, the process requirements information including the target glue application trajectory and the number of glue applications on the TV frame; determining whether the glue application trajectory information of the glue application operation matches the process requirements information based on the image recognition result of the YOLOv8 image recognition module; if the glue application trajectory information of the glue application operation does not match the process requirements information, generating a re-coating alarm information and feeding it back to the workstation area to perform a re-coating operation based on the re-coating alarm information; if the glue application trajectory information of the glue application operation matches the process requirements information, confirming that the glue application is qualified and allowing the current TV frame to enter the next process.

[0062] In this embodiment of the invention, the process requirement information includes the target adhesive application trajectory and the number of adhesive applications for the TV bezel. In other embodiments, the process requirement information may also include the adhesive application time, etc. For example, in this embodiment of the invention, the target adhesive application trajectory of the TV bezel covers the upper, right, and lower regions of the identification area to be coated, wherein the upper, right, and lower regions are coated twice each. In other embodiments, the target adhesive application trajectory and the number of adhesive applications can be adjusted according to actual application requirements.

[0063] In this embodiment of the invention, after triggering the quality inspection and error prevention identification of the glue application operation on the TV frame, image recognition is performed on the image information collected after the quality inspection and error prevention identification is triggered. By confirming whether the glue application trajectory information of the glue application operation matches the process requirement information, it is determined whether subsequent re-coating is required. For example, when the glue pen performs the glue application operation on the identification area to be glued, if the length and / or width of the glue application trajectory of a single application does not cover the target glue application area, or the number of applications for a single target glue application area does not meet the requirements, then this embodiment of the invention considers that the current glue application trajectory information or the number of applications does not match the process requirement information, and thus performs a re-coating operation until the glue application trajectory information can completely cover the target glue application area or the number of applications meets the standard, thus considering that the current glue application trajectory information or the number of applications matches the process requirement information, and proceeds to the next process.

[0064] The industrial quality inspection error prevention identification method based on TV bezel operation described in this embodiment of the invention determines whether to trigger quality inspection error prevention identification for the glue application operation of the TV bezel by whether the SN code of the current TV bezel is obtained. It then performs image recognition on the image information collected after triggering the error prevention identification to confirm whether the glue application operation of the TV bezel meets the process requirements. Based on the confirmation result of the glue application operation, it can determine whether a re-coating operation is needed or proceed to the next process after confirming that the glue application is qualified. This method is not limited to a single model of TV bezel and has no restrictions on glue application equipment such as glue dispensing pens, exhibiting excellent applicability, reducing processing costs, and improving product yield.

[0065] Based on the above embodiments, as a supplement to the above... Figure 1 The present invention provides an embodiment of an industrial quality inspection error-proofing identification device based on TV bezel operation, which is similar to the method shown. Figure 1 Corresponding to the method embodiments shown, this device can be specifically applied to various electronic devices, see reference. Figure 3 As shown, the industrial quality inspection error prevention and identification device based on TV bezel operation includes:

[0066] The identity detection module 100 is used to collect image information of the workstation area in real time through the image acquisition device. After the MES system obtains the SN code of the TV frame in the current workstation area, it triggers the quality inspection and error prevention identification of the glue application operation of the TV frame.

[0067] The information acquisition module 200 is used to acquire the process requirement information of the TV frame according to the SN code;

[0068] The identification and detection module 300 is used to perform image recognition on the image information collected after triggering quality inspection error prevention identification, obtain image recognition results, confirm whether the glue application operation on the TV frame meets the process requirements based on the image recognition results, and determine whether a re-coating operation is required or proceed to the next process after confirming that the glue application is qualified based on the confirmation results of the glue application operation.

[0069] In this embodiment of the invention, the information acquisition module 200 is used to: after the MES system obtains the SN code of the TV frame in the current workstation area, read the SN code through the MES system, record and configure the UUID code corresponding to the TV frame, obtain the identity encoding information of the TV frame according to the SN code and the UUID code, and obtain the process requirement information corresponding to the TV frame through the MES system according to the identity encoding information.

[0070] In this embodiment of the invention, the identification and detection module 300 is used to: perform frame-by-frame processing on the image information collected after triggering quality inspection error prevention identification to obtain continuous image frames; perform image recognition on the image frames based on the YOLOv8 image recognition module to obtain the corner feature points of the TV frame and the glue application trajectory information of the glue application operation in the image frames.

[0071] In this embodiment of the invention, the identification and detection module 300 is further configured to: receive the process requirement information acquired by the MES system, the process requirement information including the target adhesive application trajectory and the number of adhesive applications for the TV bezel; determine whether the adhesive application trajectory information of the adhesive application operation matches the process requirement information based on the image recognition result of the YOLOv8 image recognition module; if the adhesive application trajectory information of the adhesive application operation does not match the process requirement information, generate a recoating alarm and feed it back to the workstation area to perform a recoating operation based on the recoating alarm; if the adhesive application trajectory information of the adhesive application operation matches the process requirement information, confirm that the adhesive application is qualified and allow the current TV bezel to enter the next process.

[0072] The industrial quality inspection error prevention and identification device based on TV frame operation described in this embodiment of the invention can execute the industrial quality inspection error prevention and identification method based on TV frame operation provided in the above embodiment. The industrial quality inspection error prevention and identification device based on TV frame operation has the corresponding functional steps and beneficial effects of the industrial quality inspection error prevention and identification method based on TV frame operation described in the above embodiment. For details, please refer to the embodiment of the industrial quality inspection error prevention and identification method based on TV frame operation described above. The embodiments of this invention will not be repeated here.

[0073] This invention also provides an electronic device, which may include a processor and a memory, wherein the processor and memory can be connected via a bus or other means. The processor may be a Central Processing Unit (CPU). The processor may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. The memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the industrial quality inspection error-proofing identification method based on TV bezel operation in this invention embodiment. The processor executes various functional applications and data processing by running the non-transitory software programs, instructions, and modules stored in the memory, thereby realizing the industrial quality inspection error-proofing identification method based on TV bezel operation in the above method embodiment.

[0074] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor, etc. Furthermore, the memory may include high-speed random access memory and non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. One or more modules are stored in the memory and, when executed by the processor, perform the industrial quality inspection error-proofing identification method based on TV bezel operation as described in the above method embodiments. Specific details of the above electronic device can be understood by referring to the corresponding descriptions and effects in the above method embodiments, and will not be repeated here. Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it may include the processes of the embodiments of the above methods. The storage medium may be a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD), etc.; the storage medium may also include a combination of the above types of memory.

[0075] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0076] Similarly, it should be understood that, in order to streamline this disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this method of disclosure should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the invention.

[0077] It should be noted that the above embodiments are illustrative of the invention and not restrictive of the invention, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims.

Claims

1. An industrial quality inspection error prevention and identification method based on TV bezel operation, characterized in that, The industrial quality inspection error prevention and identification method based on TV bezel operation includes: The image acquisition device collects image information of the workstation area in real time. After the MES system obtains the SN code of the TV frame in the current workstation area, it triggers the quality inspection and error prevention identification of the glue application operation of the TV frame. The manufacturing process requirements of the TV frame are obtained based on the SN code; The image information collected after triggering the quality inspection error prevention identification is image recognized to obtain the image recognition result. Based on the image recognition result, it is confirmed whether the glue application operation on the TV frame meets the process requirements. Based on the confirmation result of the glue application operation, it is determined whether a re-coating operation is required or whether the glue application is qualified before proceeding to the next process. The step of obtaining the process requirement information of the TV frame based on the SN code includes: After the MES system obtains the SN code of the TV frame in the current workstation area, it reads the SN code through the MES system, records and configures the UUID code corresponding to the TV frame, and obtains the identity encoding information of the TV frame based on the SN code and the UUID code. Based on the identity coding information, the process requirement information corresponding to the TV frame is obtained through the MES system; The image recognition process for the image information collected after triggering quality inspection error prevention identification includes: The image information collected after triggering the quality inspection error prevention identification is processed into frames to obtain continuous image frames; The image frame is recognized using the YOLOv8 image recognition module to obtain the corner feature points of the TV frame and the glue application trajectory information of the glue application operation.

2. The industrial quality inspection error prevention and identification method based on TV bezel operation according to claim 1, characterized in that, The information confirming whether the adhesive application to the TV frame meets the process requirements includes: Receive the process requirement information obtained by the MES system, the process requirement information including the target adhesive application trajectory and the number of adhesive applications for the TV frame; Based on the image recognition results of the YOLOv8 image recognition module, it is determined whether the adhesive application trajectory information of the adhesive application operation matches the process requirement information; If the adhesive application trajectory information of the adhesive application operation does not match the process requirement information, a recoating alarm is generated and fed back to the workstation area to perform a recoating operation according to the recoating alarm information. If the adhesive application trajectory information of the adhesive application operation matches the process requirement information, then after confirming that the adhesive application is qualified, the current TV bezel can proceed to the next process.

3. An industrial quality inspection error prevention and identification device based on TV bezel operation, characterized in that, The industrial quality inspection error prevention and identification device based on TV bezel operation includes: The identity detection module is used to collect image information of the workstation area in real time through the image acquisition device. After the MES system obtains the SN code of the TV frame in the current workstation area, it triggers the quality inspection and error prevention identification of the glue application operation of the TV frame. The information acquisition module is used to acquire the process requirement information of the TV frame based on the SN code; The identification and detection module is used to perform image recognition on the image information collected after triggering quality inspection error prevention identification, obtain image recognition results, confirm whether the glue application operation on the TV frame meets the process requirements based on the image recognition results, and determine whether a re-coating operation is required or proceed to the next process after confirming that the glue application is qualified based on the confirmation results of the glue application operation. The information acquisition module is used for: After the MES system obtains the SN code of the TV frame in the current workstation area, it reads the SN code through the MES system, records and configures the UUID code corresponding to the TV frame, and obtains the identity encoding information of the TV frame based on the SN code and the UUID code. Based on the identity coding information, the process requirement information corresponding to the TV frame is obtained through the MES system; The identification and detection module is used for: The image information collected after triggering the quality inspection error prevention identification is processed into frames to obtain continuous image frames; The image frame is recognized using the YOLOv8 image recognition module to obtain the corner feature points of the TV frame and the glue application trajectory information of the glue application operation.

4. The industrial quality inspection error prevention and identification device based on TV frame operation according to claim 3, characterized in that, The identification and detection module is also used for: Receive the process requirement information obtained by the MES system, the process requirement information including the target adhesive application trajectory and the number of adhesive applications for the TV frame; Based on the image recognition results of the YOLOv8 image recognition module, it is determined whether the adhesive application trajectory information of the adhesive application operation matches the process requirement information; If the adhesive application trajectory information of the adhesive application operation does not match the process requirement information, a recoating alarm is generated and fed back to the workstation area to perform a recoating operation according to the recoating alarm information. If the adhesive application trajectory information of the adhesive application operation matches the process requirement information, then after confirming that the adhesive application is qualified, the current TV bezel can proceed to the next process.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, which are loaded and executed by a processor to perform the operations described in any one of claims 1-2.

6. An electronic device comprising a processor and a memory, characterized in that, The memory stores computer program instructions that can be executed by the processor, and when the processor executes the computer program instructions, it implements the instructions of the method as described in any one of claims 1-2.

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