Welding defect detection: coping with artifacts in the production line

@article{Tripicchio2020WeldingDD,
  title={Welding defect detection: coping with artifacts in the production line},
  author={Paolo Tripicchio and G. M. Camacho-Gonz{\'a}lez and Salvatore D’Avella},
  journal={The International Journal of Advanced Manufacturing Technology},
  year={2020},
  volume={111},
  pages={1659-1669}
}
Visual quality inspection for defect detection is one of the main processes in modern industrial production facilities. In the last decades, artificial intelligence solutions took the place of classic computer vision techniques in the production lines and specifically in tasks that, for their complexity, were usually demanded to human workers yet obtaining similar or greater performance of their counterparts. This work exploits a Deep Neural Network for a smart monitoring system capable of… Expand
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