The roll-to-roll (R2R) process is a high efficiency and low-cost continuous production mode that is suitable for high-tech products such as optical films, flexible displays, flexible circuit boards, new energy battery materials, etc., and conforms to the development trend of the electronic industry. Due to the continuous nature of production, periodic defects will cause huge losses, making real-time monitoring mechanisms are essential. ADT provides a complete solution for continuous production mode: 1. Online real-time detection system: Monitor production line defects to find continuous defects in real time and reduce material cost losses. 2. Intelligent classification system: intelligent classification of product defects to simplify parameter setting. 3. Defect management experts: integrate cross process defects, assist personnel in analyzing and improving yield, and can match the marking mechanism to mark the defect location, which can save manual visual inspection costs.
Unable to know the production status of products. If continuous defects in production are not found in real time, huge material cost losses will be incurred.
The defect information of hundreds of meters to kilometers cannot be accurately mapped to the roll position, so it is difficult to find abnormalities.
The product quality analysis needs to integrate the information of each process, and the test results that are scattered, cannot be integrated, and can only be analyzed independently and separately.
The roll-to-roll (R2R) process is a high efficiency and low-cost continuous production model, which will cause huge losses when periodic defects occur, a real-time monitoring mechanism is required.
Monitor the defects in the production line, find continuous defects in real time, and reduce material cost losses.
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The traditional AOI system uses manually set parameters to classify pictures, which requires repeated experiments and waste time, while the ADT intelligent classification system adds AI artificial intelligence technology, and hands people's subjective judgment to the objective AI intelligent engine. Under the condition that images have discrimination, intelligent classification can effectively distinguish all important defects, reduce the manual parameter adjustment time by 1/10 and improve the accuracy of image classification by 30%.
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The "integration" of detection data distributed at various sites is very important for R2R customers with multiple processes. Because the roll process has the feature that the end of the roll is the beginning of the second process, the customer needs to invest considerable effort in evaluating the quality of the final product. The defect management experts of ADT can summarize the scattered data into available decision-making information.
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