An optimized deep learning approach to detect and classify defective tiles in production line for efficient industrial quality control

In this paper, a deep learning-based machine vision approach is proposed to automatically detect and classify defective tiles in the production assembly line of a tile manufacturing industry. The deep learning model used in this methodology is trained with 30,000 real-time images of cement/ceramic t...

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