Deep learning improves defect detection in LCD manufacturing, suggesting better quality control and reduced waste.
Conventional LCD panel inspection methods struggle to identify subtle defects, such as progressive and clustered flaws. This paper proposes a deep learning‐based system to address these limitations, enhancing defect detection and repair capabilities. Our system aims to improve quality control, reduce waste, and deliver higher quality products.
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Xiao et al. (2025) studied this question.
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