AMOLED wearable screen dispensing process automation detection and traceability method and system

Abstract

The application discloses an AMOLED wearable screen dispensing process automation detection and tracing method and system, and relates to the technical field of AMOLED wearable screen production; comprising the following steps: step one, dispensing preparation: using transparent UV glue containing fluorescent material as dispensing material; step two, automatic dispensing: dispensing the transparent UV glue containing fluorescent material to the dispensing area of the AMOLED wearable screen. The AMOLED wearable screen dispensing process automation detection and tracing method and system introduce fluorescent powder into the transparent UV glue, cooperate with ultraviolet lamp irradiation, make the originally invisible transparent glue line emit clear fluorescence, and form a sharp contrast between the dispensing contour and the background. Combined with high-precision visual processing software, various typical defects such as glue deficiency, glue overflow, bubbles and discontinuous dispensing can be automatically identified, and key parameters such as dispensing width and glue line uniformity can be accurately measured.

Description

Technical Field

[0001] This invention relates to the field of AMOLED wearable screen manufacturing technology, specifically to an automated detection and traceability method and system for the AMOLED wearable screen dispensing process. Background Technology

[0002] AMOLED wearable screens are widely used in wearable devices such as smartwatches and smart bracelets due to their advantages of being thin, flexible, and low-power. In the production process of AMOLED wearable screens, the dispensing process is one of the key steps. It mainly involves applying UV adhesive to bond, seal, or fix the screen components. The quality of the dispensing directly affects the screen's sealing performance, structural stability, and display effect; therefore, customers have extremely high inspection requirements for this process.

[0003] Currently, the UV adhesives used in AMOLED wearable screen production are mostly transparent. During assembly line production, the dispensing effect of transparent UV adhesive is difficult to clearly identify with the naked eye or conventional inspection methods. This leads to defects such as substandard dispensing width, insufficient adhesive, excess adhesive, and bubbles going undetected in a timely manner. This not only affects the product pass rate but may also result in customer complaints due to defective products entering downstream processes. Furthermore, traditional dispensing inspection relies heavily on manual visual inspection, which suffers from low inspection efficiency, high misjudgment rate, and inconsistent inspection standards, failing to meet the demands of high-speed assembly line production.

[0004] Furthermore, in the existing production model, dispensing inspection data and product identification information are disconnected, making it impossible to achieve a one-to-one correspondence between inspection data and products. When dispensing quality issues arise, it is difficult to trace key information such as the product's production batch, dispensing parameters, and inspection results, hindering the rapid identification of the root cause of the problem. This is detrimental to the optimization of production processes and quality control, making it difficult to form a closed-loop management system of "dispensing-inspection-traceability," and restricting the improvement of automation and intelligence levels in AMOLED wearable screen production.

[0005] While some existing vision inspection systems are used for dispensing inspection, they are mostly designed for non-transparent adhesives or large components, which cannot be adapted to the thin and precise characteristics of AMOLED wearable screens. Furthermore, they do not incorporate fluorescence enhancement technology to achieve clear detection of transparent UV adhesives, and lack deep integration with MES systems, making it impossible to automatically upload inspection data and trace the entire product process. This makes it difficult to solve the core pain points of dispensing inspection for AMOLED wearable screens. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides an automated detection and traceability method and system for the dispensing process of AMOLED wearable screens, solving the problems mentioned in the background section.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an automated inspection and traceability method for the dispensing process of AMOLED wearable screens, comprising the following steps: Step 1, dispensing preparation: Use transparent UV adhesive containing fluorescent materials as the dispensing material; Step 2, Automated dispensing: Apply the transparent UV adhesive containing fluorescent material to the dispensing area of ​​the AMOLED wearable screen; Step 3, Fluorescence Visual Detection: Illuminate the dispensing area with an ultraviolet light source to excite the fluorescent material to emit fluorescence, and collect the fluorescence image of the dispensing area; Step 4: Automatic Analysis and Measurement: Analyze the fluorescence image, identify dispensing defects, measure dispensing parameters, and compare with preset standards to determine whether the dispensing quality is up to standard; Step 5: Product Information Acquisition and Association: Acquire product identity information and associate the product identity information with dispensing test data; Step Six: Data Upload and Traceability: Upload the associated data to the Manufacturing Execution System to enable the detection and traceability of the dispensing process.

[0008] Preferably, the transparent UV adhesive containing fluorescent material is a transparent UV adhesive containing fluorescent powder, and the amount of fluorescent powder added is 0.5%-3% of the total mass of the UV adhesive; the ultraviolet light source is a conventional industrial ultraviolet lamp; and the product identification information is carried by a unique QR code set on the product.

[0009] Preferably, the fluorescence visual detection and product information acquisition are completed simultaneously using the same camera, that is, the camera is used to simultaneously capture the fluorescence image of the dispensing area and the QR code image on the product.

[0010] Preferably, in the automatic analysis and measurement step, when the dispensing quality is found to be substandard, an alarm signal is issued and the corresponding product's identity information is marked; in the data upload and traceability step, the manufacturing execution system automatically sorts the substandard products according to the detection results, forming a closed-loop management.

[0011] An automated inspection and traceability system for the dispensing process of AMOLED wearable screens includes: Dispensing module: Used to apply transparent UV adhesive containing fluorescent materials to the dispensing area of ​​the AMOLED wearable screen; Product information preset module: used to set a unique product identification mark on the product; Visual inspection module: includes an ultraviolet light source, camera and visual processing software, used to excite fluorescence, acquire fluorescence images, analyze dispensing quality and obtain product identification information; Data processing module: used to associate product identification information with dispensing test data; MES linkage module: used to upload the associated data to the manufacturing execution system to achieve detection and traceability.

[0012] Preferably, the transparent UV adhesive containing fluorescent material is a transparent UV adhesive containing fluorescent powder, and the amount of fluorescent powder added is 0.5%-3% of the total mass of the UV adhesive; the ultraviolet light source is a conventional industrial ultraviolet lamp; and the product identification is a unique QR code.

[0013] Preferably, the camera in the visual inspection module is used to simultaneously acquire fluorescence images of the dispensing area and QR code images of the product, and the visual processing software is used to simultaneously analyze the dispensing quality and decode the QR code.

[0014] Preferably, the system further includes an alarm module for issuing an alarm signal when the dispensing quality is found to be substandard; the MES linkage module is also used to link with the production line control system to automatically sort substandard products.

[0015] Preferably, the camera of the vision inspection module is a high-definition industrial camera with a frame rate of not less than 30fps and a resolution of not less than 1080P; the vision processing software has a detection accuracy of ±0.01mm and a decoding speed of not less than 50 times / minute. Beneficial effects

[0016] This invention provides an automated inspection and traceability method and system for the dispensing process of AMOLED wearable screens. Compared with existing technologies, it has the following advantages: (1) The automated detection and traceability method and system for the dispensing process of AMOLED wearable screen introduces phosphor into the transparent UV adhesive. With the help of ultraviolet light irradiation, the originally invisible transparent adhesive lines emit clear fluorescence, and the dispensing outline forms a sharp contrast with the background. Combined with high-precision vision processing software, it can automatically identify a variety of typical defects such as insufficient adhesive, overflow adhesive, bubbles, and discontinuous dispensing, and accurately measure key parameters such as dispensing width and adhesive line uniformity. At the same time, the amount of phosphor added has been optimized so that it does not affect the curing speed, bonding strength and transparency of the UV adhesive, nor does it affect the display effect of the AMOLED screen. It also meets environmental protection requirements and takes into account the unity of detection effect and product quality.

[0017] (2) The automated inspection and traceability method and system for the AMOLED wearable screen dispensing process integrates visual inspection equipment into the production line, realizing fully automated inspection of the entire process after dispensing, including automatic triggering, automatic image acquisition, automatic analysis, and automatic judgment. This completely replaces the traditional manual visual inspection method and perfectly meets the needs of high-speed production on the production line. At the same time, automated inspection eliminates the subjective differences of manual inspection, ensures strict uniformity of inspection standards, improves the reliability and reproducibility of quality control, and significantly reduces the company's labor costs.

[0018] (3) The automated detection and traceability method and system for the AMOLED wearable screen dispensing process achieves digital management of the dispensing process by pre-setting a unique QR code on the product and automatically associating the product identity information with dispensing test data and equipment operating parameters, which are then uploaded to the MES system. When quality problems occur, the dispensing parameters, test results, production batch and other full-dimensional information of the product can be quickly retrieved through the QR code, accurately locating the root cause of the problem and facilitating timely adjustment of the production process. This traceability capability meets the stringent requirements of high-end customers for product quality traceability and provides a data foundation for enterprises to achieve continuous improvement, reduce scrap rates and enhance product competitiveness.

[0019] (4) The automated detection and traceability method and system for the AMOLED wearable screen dispensing process, through the real-time linkage between the MES system and the production line control system, dispensing equipment, and visual inspection equipment, realizes real-time uploading of inspection data, automatic sorting of unqualified products, automatic transfer of qualified products, and real-time monitoring and early warning of production parameters, forming a complete automated closed-loop management. At the same time, the invention innovatively adopts a "single-lens dual-function" design, with the same camera simultaneously completing the acquisition of fluorescent images of the dispensing area and the decoding of product QR code images, eliminating the need for a separately set QR code scanning device, simplifying the layout of production line equipment, improving space utilization, reducing equipment procurement and maintenance costs, reducing signal synchronization links, and improving system stability and reliability.

[0020] (5) The automated detection and traceability method and system for the AMOLED wearable screen dispensing process uses a transparent UV adhesive containing phosphor that meets relevant environmental protection standards. It can be widely used in the dispensing process of various AMOLED wearable screens, is compatible with different models and sizes of wearable screens, has strong versatility, and has good compatibility between phosphor and UV adhesive, good weather resistance, and does not affect the long-term performance of the product. Detailed Implementation

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0022] An automated inspection and traceability method for the dispensing process of AMOLED wearable screens includes the following steps: Step 1: Preparation for dispensing adhesive Before the dispensing process begins, the dispensing material is prepared. In this embodiment, a transparent UV adhesive containing phosphor is used as the dispensing material, specifically the Huitian 3612H3 model. This UV adhesive pre-mixes phosphor, and the amount of phosphor added is 1.5% of the total mass of the UV adhesive. This phosphor has good compatibility with the UV adhesive, emits bright fluorescence under UV light irradiation, and does not affect the adhesive performance, transparency, or display effect of the AMOLED wearable screen. Furthermore, this phosphor has excellent weather resistance and has passed the EU RoHS environmental test, meeting the environmental requirements for wearable electronic products.

[0023] Meanwhile, a unique QR code is pre-engraved on the edge of the non-display area of ​​each AMOLED wearable screen product using laser engraving. This QR code contains identification information such as the product batch number, model, production time, and work order number, achieving "one item, one code" binding throughout the entire process. The QR code is 3mm × 3mm in size and its position avoids the adhesive application area and subsequent assembly area to ensure that it does not affect the screen's functionality and appearance.

[0024] Step 2: Automated dispensing The production line transports AMOLED wearable screen products sequentially through the dispensing station at a constant speed (0.5 m / min). The dispensing station is equipped with precision dispensing equipment containing the aforementioned transparent UV adhesive containing phosphor. The dispensing equipment automatically dispenses adhesive according to preset parameters: dispensing width 0.8 mm ± 0.05 mm, dispensing speed 20 mm / s, and dispensing pressure 0.25 MPa.

[0025] During operation, the dispensing equipment collects operating parameters in real time through built-in sensors, including dispensing pressure, glue valve temperature, glue consumption rate, and dispensing head position coordinates. These parameters are then transmitted to the data processing module in real time via an Ethernet interface, providing data support for subsequent traceability.

[0026] After the dispensing is completed, the production line continues to transport the product to the next station without human intervention.

[0027] Step 3: Fluorescence visual detection The products enter the vision inspection station along the production line. This station is equipped with a vision inspection system, including: a standard industrial ultraviolet lamp (wavelength 365nm, power 5W), a high-definition industrial camera (resolution 1920×1080, frame rate 60fps), and an industrial control computer with vision processing software.

[0028] When the product arrives at the testing station, the ultraviolet lamp automatically turns on and shines vertically onto the dispensing area. The transparent UV adhesive containing fluorescent powder is excited by ultraviolet light and emits a clearly visible green fluorescence, making the originally transparent adhesive line outline stand out sharply against the surrounding non-adhesive area.

[0029] The camera is triggered synchronously to capture fluorescent images of the dispensing area. Because it uses the same lens, the camera's field of view simultaneously covers both the dispensing area and the pre-set QR code area on the product. The images captured by the camera are transmitted in real-time to the vision processing software in the industrial control computer via a USB 3.0 interface.

[0030] Step 4: Automatic Analysis and Measurement The visual processing software is developed based on HALCON and includes a built-in pyramid network-based image feature extractor. Upon receiving a fluorescence image, the software performs the following processing steps: Image preprocessing: The image is denoised, contrast enhanced, and binarized to make the fluorescent adhesive line area more prominent.

[0031] Feature extraction: Shallow features (such as edges and contours) and deep features (such as texture and continuity) of the adhesive application area are extracted and interactively enhanced. Due to the significant contrast between the adhesive and surrounding objects under ultraviolet light, the image is clear and the feature extraction accuracy is high.

[0032] Defect Identification: The software automatically identifies the following four typical dispensing defects: Insufficient glue: The glue line is broken or the width is lower than the preset lower limit (0.6mm). Glue overflow: The glue line extends beyond the preset glue application boundary; Bubbles: Circular or oval light-transmitting areas appear inside the adhesive thread; Discontinuous dispensing: There are obvious breaks in the glue line.

[0033] Parameter measurement: The software automatically measures the dispensing width (average width of multiple cross-sections) and the uniformity of the glue line (width standard deviation). The measurement accuracy can reach ±0.01mm.

[0034] Acceptance judgment: The measurement results are compared with the preset standards. In this embodiment, the acceptance standard is: dispensing width of 0.75mm~0.85mm, with no defects such as insufficient glue, overflow, bubbles, or discontinuities. If all parameters meet the standards, it is judged as qualified; otherwise, it is judged as unqualified.

[0035] When a non-conforming product is detected, the vision processing software immediately generates an alarm signal and outputs it to the alarm module (audio-visual alarm) through the digital I / O interface. At the same time, the product's QR code information is marked as "non-conforming".

[0036] Step 5: QR code scanning and data association Using images captured by the same camera, the vision processing software analyzes the fluorescence image while simultaneously locating and decoding the QR code region within the image. The software incorporates a built-in QR code decoding algorithm, supporting common formats such as QRCode and DataMatrix, with a decoding speed of up to 80 times per minute, far exceeding the pipeline cycle time requirement (approximately 30 times per minute), thus preventing missed or incorrect scans.

[0037] The decoded product identification information includes: product serial number, batch number, production time, work order number, etc. The software then associates the decoded product identification information with the above-mentioned dispensing inspection data (dispensing width, defect type, pass / fail status, inspection timestamp, etc.) to form a "product-inspection data pair".

[0038] Step Six: Data Upload and Traceability Closed Loop The data processing module synchronously uploads the associated data packets (including product identity information, dispensing test data, and dispensing equipment operating parameters) to the MES system via the RESTful API data interface.

[0039] After receiving the data, the MES system performs the following operations: Storage and Classification: The data is stored in a dedicated database for the dispensing process, and indexes are created according to dimensions such as product batch, model, and production time.

[0040] Real-time query: Production line managers can scan the product QR code through the MES terminal or mobile device to retrieve information such as dispensing parameters, test results, production batch, and equipment number of the product in real time.

[0041] Automated sorting control: The MES system is linked with the production line control system. When the system determines that a product is unqualified, the MES system sends an instruction to the downstream sorting station. When the product arrives at the sorting station, it is automatically pushed into the unqualified product buffer area; qualified products continue to flow into the next process (such as bonding, curing, etc.).

[0042] Batch traceability and analysis: When a batch of products continuously fails to meet standards, the MES system can quickly retrieve all products from the same batch, the same equipment, and the same adhesive batch to pinpoint the root cause of the problem. For example, if the system detects that the dispensing width of a certain dispensing device is consistently too narrow, it can trace the wear of the dispensing valve on that device and prompt for repair or calibration.

[0043] Thus, this embodiment achieves complete automated closed-loop management of "dispensing-inspection-data upload-traceability-sorting".

[0044] Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0045] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0046] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An automated inspection and traceability method for the dispensing process of AMOLED wearable screens, characterized in that, Includes the following steps: Step 1, dispensing preparation: Use transparent UV adhesive containing fluorescent materials as the dispensing material; Step 2, Automated dispensing: Apply the transparent UV adhesive containing fluorescent material to the dispensing area of ​​the AMOLED wearable screen; Step 3, Fluorescence Visual Detection: Illuminate the dispensing area with an ultraviolet light source to excite the fluorescent material to emit fluorescence, and collect the fluorescence image of the dispensing area; Step 4: Automatic Analysis and Measurement: Analyze the fluorescence image, identify dispensing defects, measure dispensing parameters, and compare with preset standards to determine whether the dispensing quality is up to standard; Step 5: Product Information Acquisition and Association: Acquire product identity information and associate the product identity information with dispensing test data; Step Six: Data Upload and Traceability: Upload the associated data to the Manufacturing Execution System to enable the detection and traceability of the dispensing process.

2. The automated detection and traceability method for the dispensing process of an AMOLED wearable screen according to claim 1, characterized in that: The transparent UV adhesive containing fluorescent material is a transparent UV adhesive containing fluorescent powder, and the amount of fluorescent powder added is 0.5%-3% of the total mass of the UV adhesive; the ultraviolet light source is a conventional industrial ultraviolet lamp; the product identification information is carried by a unique QR code set on the product.

3. The automated detection and traceability method for the dispensing process of an AMOLED wearable screen according to claim 1, characterized in that: The fluorescence visual detection and product information acquisition are completed simultaneously using the same camera, that is, the camera is used to simultaneously capture the fluorescence image of the dispensing area and the QR code image on the product.

4. The automated detection and traceability method for the dispensing process of an AMOLED wearable screen according to claim 1, characterized in that: In the automatic analysis and measurement step, when the dispensing quality is found to be substandard, an alarm signal is issued and the corresponding product's identity information is marked; in the data upload and traceability step, the manufacturing execution system automatically sorts the substandard products according to the detection results, forming a closed-loop management.

5. The automated inspection and traceability system for the dispensing process of an AMOLED wearable screen according to claim 1, characterized in that, include: Dispensing module: Used to apply transparent UV adhesive containing fluorescent materials to the dispensing area of ​​the AMOLED wearable screen; Product information preset module: used to set a unique product identification mark on the product; Visual inspection module: includes an ultraviolet light source, camera and visual processing software, used to excite fluorescence, acquire fluorescence images, analyze dispensing quality and obtain product identification information; Data processing module: used to associate product identification information with dispensing test data; MES linkage module: used to upload the associated data to the manufacturing execution system to achieve detection and traceability.

6. The automated inspection and traceability system for the dispensing process of an AMOLED wearable screen according to claim 5, characterized in that: The transparent UV adhesive containing fluorescent material is a transparent UV adhesive containing fluorescent powder, and the amount of fluorescent powder added is 0.5%-3% of the total mass of the UV adhesive; the ultraviolet light source is a conventional industrial ultraviolet lamp; the product identification is a unique QR code.

7. The automated inspection and traceability system for the dispensing process of an AMOLED wearable screen according to claim 6, characterized in that: The camera in the vision inspection module is used to simultaneously capture fluorescence images of the dispensing area and QR code images on the product, while the vision processing software is used to simultaneously analyze the dispensing quality and decode the QR code.

8. The automated inspection and traceability system for the dispensing process of an AMOLED wearable screen according to claim 5, characterized in that: The system also includes an alarm module, which issues an alarm signal when the dispensing quality is found to be substandard; the MES linkage module is also used to link with the production line control system to automatically sort out substandard products.

9. The automated inspection and traceability system for the dispensing process of an AMOLED wearable screen according to claim 5, characterized in that: The camera in the vision inspection module is a high-definition industrial camera with a frame rate of no less than 30fps and a resolution of no less than 1080P; the vision processing software has a detection accuracy of ±0.01mm and a decoding speed of no less than 50 times / minute.