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

Abstract

The invention discloses an industrial quality inspection error-proofing identification method and device based on television frame operation, a medium and equipment, and the method comprises the steps: collecting the image information of a station region in real time through an image collection device, and after an MES system obtains an SN code of a television frame in the current station region, sending the SN code to the MES system; triggering quality inspection and mistake proofing identification on the gluing operation of the television frame; acquiring process requirement information of the television frame according to the SN code; performing image recognition on the image information acquired after triggering quality inspection error-proofing recognition to obtain an image recognition result, and determining whether the gluing operation on the television frame meets the process requirement information according to the image recognition result; and according to the confirmation result of the gluing operation, judging whether the supplementary gluing operation is needed or entering the next process after confirming that the gluing is qualified. The method is not limited to television frames of a single model, does not limit dispensing equipment such as a dispensing pen, has better applicability, reduces the processing cost, and improves the yield of products at the same time.

Description

Technical Field

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

[0002] In the television production process, primer glue is a critical factor in ensuring screen bonding quality. Irregularities such as insufficient or missed application can lead to screen bonding problems, resulting in serious quality issues such as screen detachment, causing financial losses to the company and damaging the brand's reputation. Traditional industrial quality control relies on manual inspection, but this method is highly subjective, inefficient, error-prone, and time-consuming.

[0003] Currently, the glue application operation of TV frames is usually carried out using a glue dispensing pen. In order to determine whether the primer is in place, the existing identification method is to customize a special glue dispensing pen with a pressure sensor to perform the primer application. By comparing the primer route mapped by the glue dispensing pen with the frame length of the back panel of the TV model, it is determined whether the primer is in place. However, this identification method requires individual customization for each TV model, which has a high cost. In addition, due to the fact that the glue dispensing pen is easily damaged and has a long maintenance cycle, it is difficult to promote and use it in actual production applications for a long time.

[0004] Therefore, there is an urgent need for a new industrial quality inspection error-proofing 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, device, medium and equipment based on TV frame operation to overcome the above problems or at least partially solve the above problems.

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

[0007] According to a first aspect of an embodiment of the present invention, there is provided an industrial quality inspection error prevention and identification method based on television frame operation, the industrial quality inspection error prevention and identification method based on television frame operation comprising:

[0008] The image information of the workstation area is collected in real time by the image acquisition device. After the SN code of the TV frame in the current workstation area is obtained by the MES system, the quality inspection and error prevention identification of the gluing operation of the TV frame is triggered;

[0009] Obtaining process requirement information of the TV frame according to the SN code;

[0010] Image recognition is performed on the image information collected after the quality inspection and error prevention recognition is triggered to obtain an image recognition result. Based on the image recognition result, it is confirmed whether the gluing operation on the TV frame meets the process requirement information. Based on the confirmation result of the gluing operation, it is determined whether a re-coating operation is required or whether the gluing is confirmed to be qualified before entering the next process.

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

[0012] 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 coding information of the TV frame according to the SN code and the UUID code;

[0013] The process requirement information corresponding to the television frame is obtained through the MES system according to the identity code information.

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

[0015] The image information collected after triggering the quality inspection and error prevention recognition is frame-processed to obtain continuous image frames;

[0016] Image recognition is performed on the image frame based on the yolov8 image recognition module to obtain the corner feature points of the TV frame in the image frame and the gluing trajectory information of the gluing operation.

[0017] In some embodiments of the present invention, the confirming whether the gluing operation on the television frame meets the process requirement information includes:

[0018] Receiving the process requirement information acquired by the MES system, the process requirement information including a target gluing trajectory and gluing times of the TV frame;

[0019] According to the image recognition result of the yolov8 image recognition module, it is determined whether the gluing trajectory information of the gluing operation matches the process requirement information;

[0020] If the gluing trajectory information of the gluing operation does not match the process requirement information, a re-coating alarm message is generated and fed back to the workstation area so that a re-coating operation is performed according to the re-coating alarm message;

[0021] If the gluing trajectory information of the gluing operation matches the process requirement information, the current TV frame is entered into the next process after confirming that the gluing is qualified.

[0022] According to a second aspect of an embodiment of the present invention, there is provided an industrial quality inspection error prevention and recognition device based on television frame operation, the industrial quality inspection error prevention and recognition device based on television frame operation comprising:

[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 gluing operation of the TV frame;

[0024] An information acquisition module, configured to acquire process requirement information of the television frame according to the SN code;

[0025] The recognition and detection module is used to perform image recognition on the image information collected after the quality inspection and error prevention recognition is triggered to obtain an image recognition result, and confirm whether the gluing operation of the TV frame meets the process requirement information based on the image recognition result. According to the confirmation result of the gluing operation, it is determined whether a re-coating operation is required or whether to enter the next process after confirming that the gluing is qualified.

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

[0027] 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 coding information of the TV frame according to the SN code and the UUID code;

[0028] The process requirement information corresponding to the television frame is obtained through the MES system according to the identity code information.

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

[0030] The image information collected after triggering the quality inspection and error prevention recognition is frame-processed to obtain continuous image frames;

[0031] Image recognition is performed on the image frame based on the yolov8 image recognition module to obtain the corner feature points of the TV frame in the image frame and the gluing trajectory information of the gluing operation.

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

[0033] Receiving the process requirement information acquired by the MES system, the process requirement information including a target gluing trajectory and gluing times of the TV frame;

[0034] According to the image recognition result of the yolov8 image recognition module, it is determined whether the gluing trajectory information of the gluing operation matches the process requirement information;

[0035] If the gluing trajectory information of the gluing operation does not match the process requirement information, a re-coating alarm message is generated and fed back to the workstation area so that a re-coating operation is performed according to the re-coating alarm message;

[0036] If the gluing trajectory information of the gluing operation matches the process requirement information, the current TV frame is entered into the next process after confirming that the gluing is qualified.

[0037] According to a third aspect of an embodiment of the present invention, a computer-readable storage medium is provided, in which computer program instructions are stored. The computer program instructions are loaded and executed by a processor to implement the operations performed by any of the methods described above.

[0038] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided, comprising a processor and a memory, wherein the memory stores computer program instructions that can be executed by the processor, and when the processor executes the computer program instructions, it implements 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] The embodiment of the present invention provides an industrial quality inspection and error prevention identification method, device, medium and equipment based on the operation of the TV frame. The industrial quality inspection and error prevention identification method based on the operation of the TV frame described in the embodiment of the present invention determines whether to trigger the quality inspection and error prevention identification of the gluing operation of the TV frame by whether the SN code of the current TV frame is obtained, and performs image recognition on the image information collected after the quality inspection and error prevention identification is triggered to confirm whether the gluing operation of the TV frame meets the process requirement information, and can determine whether a re-coating operation is required or enter the next process after confirming that the gluing is qualified based on the confirmation result of the gluing operation. It is not limited to a single model of TV frame, and there is no restriction on gluing equipment such as gluing pens. It has better applicability, reduces processing costs, and improves product yield.

[0041] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 A flowchart of an industrial quality inspection error prevention and recognition method based on TV frame operation provided by an embodiment of the present invention;

[0044] Figure 2 A reference diagram of the identification area to be glued;

[0045] Figure 3 A schematic diagram of the principle structure of an industrial quality inspection error prevention and recognition device based on TV frame operation provided by an embodiment of the present invention. DETAILED DESCRIPTION

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

[0047] The accompanying drawings illustrate various schematic diagrams of structures according to embodiments of the present disclosure. These figures are not drawn to scale, and for the purpose of clarity, certain details are exaggerated and certain details may be omitted. The shapes of the various regions and layers shown in the figures, as well as their relative sizes and positional relationships, are merely exemplary and may deviate in practice due to manufacturing tolerances or technical limitations. Those skilled in the art may design regions / layers with different shapes, sizes, and relative positions as needed.

[0048] In the context of this disclosure, when a layer / element is referred to as being "on" another layer / element, the layer / element may be directly on the other layer / element or an intervening layer / element may exist therebetween. Additionally, if a layer / element is "on" another layer / element in one orientation, the layer / element may be "below" the other layer / element when the orientation is reversed. In the context of this disclosure, similar or identical components may be denoted by the same or similar reference numerals.

[0049] In order to better understand the above technical solution, the above technical solution will be described in detail below in combination with specific implementation methods. It should be understood that the embodiments of the present disclosure and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution 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 flow chart of an industrial quality inspection error prevention and recognition method based on TV frame operation provided by an embodiment of the present invention. Figure 1 As shown, the industrial quality inspection error prevention and recognition method based on TV frame operation includes the following steps:

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

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

[0053] In an embodiment of the present invention, after the MES system obtains the SN code of the TV frame in the current workstation area, it triggers quality inspection and error prevention identification of the gluing operation of the TV frame, thereby starting to intercept the collected image information at the current time node for subsequent image recognition to confirm whether the gluing operation of the TV frame meets the process requirement information.

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

[0055] An embodiment of the present invention obtains the process requirement information of the TV frame according to the SN code, including: after the MES system obtains the SN code of the TV frame in the current workstation area, the SN code is read by the MES system, the UUID code corresponding to the TV frame is recorded and configured, and the identity coding information of the TV frame is obtained according to the SN code and the UUID code; and the process requirement information corresponding to the TV frame is obtained through the MES system according to the identity coding information.

[0056] In an embodiment of the present invention, after each TV frame to be glued 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 code scanning device and then transmitted to the MES system. The MES system configures a UUID code (universally unique identification code) for the current TV frame, and uses the SN code + UUID code as the identity coding information of each TV frame for subsequent configuration of process requirement information.

[0057] S3. Perform image recognition on the image information collected after triggering the quality inspection error prevention recognition to obtain an image recognition result. Confirm whether the gluing operation on the TV frame meets the process requirement information based on the image recognition result. Determine whether a re-coating operation is required or proceed to the next process after confirming that the gluing is qualified based on the confirmation result of the gluing operation.

[0058] The embodiment of the present invention performs image recognition on the image information collected after the quality inspection and error prevention recognition is triggered, including: performing frame processing on the image information collected after the quality inspection and error prevention recognition is triggered 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 in the image frame and the gluing trajectory information of the gluing operation.

[0059] In the embodiment of the present invention, the corner feature points of the TV frame are the upper left, upper right, lower left and lower right corner points of the TV frame back plate. Connecting the four corner feature points of the TV frame can form a reference rectangular frame. In the embodiment of the present invention, the rectangular frame obtained from the image information is shifted inward and outward by 10 pixels to form an area (see Figure 2 As shown) as the identification area to be glued, wherein the upper area, the right area and the lower area of ​​the identification area to be glued are the target gluing areas, and the target gluing area is the area that needs to be glued in the actual gluing operation (on the TV frame, it is the location of the gluing track).

[0060] In the actual process of obtaining the image information of the TV frame, the TV frame may have a position offset or the corner feature point may be blocked, which may cause the actual gluing trajectory to not match the target gluing area. In order to reduce the recognition error, the embodiment of the present invention will track the coordinate position of the corner feature point in the image information of multiple consecutive frames. If the coordinate position of the corner feature point exceeds the offset distance of more than three frames by more than 10 pixels, the corner feature point of the third frame will be used as the new corner feature point to determine the target gluing area.

[0061] An embodiment of the present invention confirms whether the gluing operation of the TV frame complies with the process requirement information, including: receiving the process requirement information acquired by the MES system, the process requirement information including the target gluing trajectory and the number of gluing times of the TV frame; judging whether the gluing trajectory information of the gluing operation matches the process requirement information based on the image recognition result of the yolov8 image recognition module; if the gluing trajectory information of the gluing operation does not match the process requirement information, generating a re-coating alarm information, and feeding it back to the workstation area to perform a re-coating operation according to the re-coating alarm information; if the gluing trajectory information of the gluing operation matches the process requirement information, confirming that the gluing is qualified and allowing the current TV frame to enter the next process.

[0062] In an embodiment of the present invention, the process requirement information includes a target gluing trajectory and gluing times of the TV frame. In other embodiments, the process requirement information may further include gluing time, etc. For example, in an embodiment of the present invention, the target gluing trajectory of the TV frame is to cover the upper, right, and lower areas of the identification area to be glued, wherein the upper, right, and lower areas are each glued twice. In other embodiments, the target gluing trajectory and gluing times may also be adjusted according to actual application requirements.

[0063] After triggering the quality inspection and error prevention recognition of the gluing operation of the TV frame, the embodiment of the present invention performs image recognition on the image information collected after the quality inspection and error prevention recognition is triggered, and determines whether subsequent re-coating is required by confirming whether the gluing track information of the gluing operation matches the process requirement information; for example, when the glue dispensing pen performs a gluing operation in the identified area to be glued, the length and / or width of the gluing track of a single gluing does not cover the target gluing area, or the number of gluing times of a single target gluing area does not meet the requirements, then the embodiment of the present invention considers that the current gluing track information or the number of gluing times of the gluing operation does not match the process requirement information, and thus performs a re-coating operation until the gluing track information can completely cover the target gluing area or the number of gluing times meets the standard, thereby considering that the current gluing track information or the number of gluing times of the gluing operation matches the process requirement information, and enters the next process.

[0064] The industrial quality inspection and error prevention identification method based on the TV frame operation described in the embodiment of the present invention determines whether to trigger the quality inspection and error prevention identification of the gluing operation of the TV frame by whether the SN code of the current TV frame is obtained, and performs image recognition on the image information collected after the quality inspection and error prevention identification is triggered to confirm whether the gluing operation of the TV frame meets the process requirement information, and can determine whether a re-coating operation is required or enter the next process after confirming that the gluing is qualified based on the confirmation result of the gluing operation. It is not limited to a single model of TV frame, and there is no restriction on gluing equipment such as gluing pens. It has better applicability, reduces processing costs, and improves product yield.

[0065] On the basis of the above embodiment, as the above Figure 1 The present invention provides an embodiment of an industrial quality inspection error prevention and recognition device based on TV frame operation. Figure 1 The device can be applied to various electronic devices, see Figure 3 As shown, the industrial quality inspection error prevention and recognition device based on TV frame operation includes:

[0066] The identity detection module 100 is used to collect image information of the workstation area in real time through an 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 gluing operation of the TV frame;

[0067] An information acquisition module 200 is configured to acquire process requirement information of the television 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 the quality inspection and error prevention recognition is triggered to obtain an image recognition result, and confirm whether the gluing operation of the TV frame meets the process requirement information based on the image recognition result, and determine whether a re-coating operation is required based on the confirmation result of the gluing operation or to enter the next process after confirming that the gluing is qualified.

[0069] In an embodiment of the present 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, and obtain the identity coding information of the TV frame according to the SN code and the UUID code; obtain the process requirement information corresponding to the TV frame through the MES system according to the identity coding information.

[0070] In an embodiment of the present invention, the recognition and detection module 300 is used to: perform frame processing on the image information collected after triggering quality inspection and error prevention recognition 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 in the image frame and the gluing trajectory information of the gluing operation.

[0071] In an embodiment of the present invention, the identification and detection module 300 is also used to: receive the process requirement information obtained by the MES system, the process requirement information including the target gluing trajectory and the number of gluing times of the TV frame; determine whether the gluing trajectory information of the gluing operation matches the process requirement information based on the image recognition result of the yolov8 image recognition module; if the gluing trajectory information of the gluing operation does not match the process requirement information, generate a re-coating alarm information, and feed it back to the work station area to perform a re-coating operation according to the re-coating alarm information; if the gluing trajectory information of the gluing operation matches the process requirement information, confirm that the gluing is qualified and allow the current TV frame to enter the next process.

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

[0073] An embodiment of the present invention further provides an electronic device, which may include a processor and a memory, wherein the processor and the memory may 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 (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components and other chips, or a combination of the above-mentioned various chips. The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs, non-transient computer executable programs and modules, such as the program instructions / modules corresponding to the industrial quality inspection error prevention identification method based on the television frame operation in the embodiment of the present invention. The processor executes various functional applications and data processing of the processor by running the non-transient software programs, instructions and modules stored in the memory, that is, implementing the industrial quality inspection error prevention identification method based on the television frame operation in the above method embodiment.

[0074] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created by the processor, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. The one or more modules are stored in the memory, and when executed by the processor, the industrial quality inspection error prevention identification method based on the TV border operation as in the above-mentioned method embodiment is executed. The specific details of the above-mentioned electronic device can be understood by corresponding to the corresponding descriptions and effects in the above-mentioned method embodiment, and will not be repeated here. Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment method can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it may include the processes of the embodiments of the above-mentioned methods. The storage medium may be a read-only memory (ROM), a random access memory (RAM), a flash memory (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] In the description provided herein, numerous specific details are described. However, it is understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0076] Similarly, it should be understood that in order to streamline the present disclosure and aid understanding of 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 into a single embodiment, figure, or description thereof. However, this disclosed method 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 less than all the features of the individual embodiments disclosed above. Accordingly, the claims that follow the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the invention.

[0077] It should be noted that the above-mentioned embodiments illustrate rather than limit the invention and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims.

Claims

1. An industrial quality inspection error prevention and recognition method based on TV frame operation, characterized in that: The industrial quality inspection error prevention and recognition method based on television frame operation includes: The image information of the workstation area is collected in real time by the image acquisition device. After the SN code of the TV frame in the current workstation area is obtained by the MES system, the quality inspection and error prevention identification of the gluing operation of the TV frame is triggered; Obtaining process requirement information of the TV frame according to the SN code; Image recognition is performed on the image information collected after the quality inspection and error prevention recognition is triggered to obtain an image recognition result. Based on the image recognition result, it is confirmed whether the gluing operation on the TV frame meets the process requirement information. Based on the confirmation result of the gluing operation, it is determined whether a re-coating operation is required or whether the gluing is confirmed to be qualified before entering the next process.

2. The industrial quality inspection error prevention and identification method based on TV frame operation according to claim 1 is characterized in that: The step of obtaining the process requirement information of the TV frame according to 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 coding information of the TV frame according to the SN code and the UUID code; The process requirement information corresponding to the television frame is obtained through the MES system according to the identity code information.

3. The industrial quality inspection error prevention and identification method based on TV frame operation according to claim 2 is characterized in that: The performing image recognition on the image information collected after triggering the quality inspection error prevention recognition includes: The image information collected after triggering the quality inspection and error prevention recognition is frame-processed to obtain continuous image frames; Image recognition is performed on the image frame based on the yolov8 image recognition module to obtain the corner feature points of the TV frame in the image frame and the gluing trajectory information of the gluing operation.

4. The industrial quality inspection error prevention and identification method based on TV frame operation according to claim 3 is characterized in that: The information for confirming whether the gluing operation on the TV frame meets the process requirements includes: Receiving the process requirement information acquired by the MES system, the process requirement information including a target gluing trajectory and gluing times of the TV frame; According to the image recognition result of the yolov8 image recognition module, it is determined whether the gluing trajectory information of the gluing operation matches the process requirement information; If the gluing trajectory information of the gluing operation does not match the process requirement information, a re-coating alarm message is generated and fed back to the workstation area so that a re-coating operation is performed according to the re-coating alarm message; If the gluing trajectory information of the gluing operation matches the process requirement information, the current TV frame is entered into the next process after confirming that the gluing is qualified.

5. An industrial quality inspection error prevention and recognition device based on TV frame operation, characterized in that: The industrial quality inspection error prevention and recognition device based on television frame 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 gluing operation of the TV frame; An information acquisition module, configured to acquire process requirement information of the television frame according to the SN code; The recognition and detection module is used to perform image recognition on the image information collected after the quality inspection and error prevention recognition is triggered to obtain an image recognition result, and confirm whether the gluing operation of the TV frame meets the process requirement information based on the image recognition result. According to the confirmation result of the gluing operation, it is determined whether a re-coating operation is required or whether to enter the next process after confirming that the gluing is qualified.

6. The industrial quality inspection error prevention and recognition device based on TV frame operation according to claim 5 is characterized in that: The information acquisition module is used to: 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 coding information of the TV frame according to the SN code and the UUID code; The process requirement information corresponding to the television frame is obtained through the MES system according to the identity code information.

7. The industrial quality inspection error prevention and recognition device based on TV frame operation according to claim 6 is characterized in that: The identification and detection module is used for: The image information collected after triggering the quality inspection and error prevention recognition is frame-processed to obtain continuous image frames; Image recognition is performed on the image frame based on the yolov8 image recognition module to obtain the corner feature points of the TV frame in the image frame and the gluing trajectory information of the gluing operation.

8. The industrial quality inspection error prevention and recognition device based on TV frame operation according to claim 7 is characterized in that: The identification and detection module is further used for: Receiving the process requirement information acquired by the MES system, the process requirement information including a target gluing trajectory and gluing times of the TV frame; According to the image recognition result of the yolov8 image recognition module, it is determined whether the gluing trajectory information of the gluing operation matches the process requirement information; If the gluing trajectory information of the gluing operation does not match the process requirement information, a re-coating alarm message is generated and fed back to the workstation area so that a re-coating operation is performed according to the re-coating alarm message; If the gluing trajectory information of the gluing operation matches the process requirement information, the current TV frame is entered into the next process after confirming that the gluing is qualified.

9. 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 implement the operations performed by the method according to any one of claims 1 to 4.

10. 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, the processor implements the method according to any one of claims 1 to 4.

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