SYSTEM AND METHOD FOR DIAGNOSISING DISPLAY PANEL USING DEEP LEARNING NEURAL NETWORK

摘要

The present technology discloses a display panel defect diagnosis system and method using a deep learning neural network. According to a specific example of the present technology, as the defect diagnosis of the display panel is automatically performed using a deep learning neural network during the manufacturing process of the display panel, the accuracy of the defect diagnosis of the corresponding display panel can be improved, and the human Errors can be prevented, human and cost loss can be prevented, and the accuracy and precision of defect determination as it determines whether the display panel is defective based on multi-channel image information obtained under various angles and lighting conditions The reliability of the judgment result of the display panel as a result of determining the final failure by setting the failure weight by the difference in the reliability of the failure learning value for the failure for each failure type, and assigning the set failure weight to each failure learning value can improve