Enhancing Metal Surface Defect Recognition Through Image Patching and Synthetic Defect Generation
Bekhzod Mustafaev,
Sungwon Kim,
Eungsoo Kim
Abstract:Preventing surface defects of metal products during the production process is challenging due to manufacturing complexity, material properties and environmental factors. Relying on human inspectors for quality control can introduce human error, which increases the risk of delivering defective products to customers. To address these challenges, we propose an Inception-CNN model specifically designed for surface defect recognition in servo motor housings (SMHs). The model incorporates an inception module between… Show more
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