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SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. (arXiv:2211.10274v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
In electronics manufacturing, solder joint defects are a common problem
affecting a variety of printed circuit board components. To identify and
correct solder joint defects, the solder joints on a circuit board are
typically inspected manually by trained human inspectors, which is a very
time-consuming and error-prone process. To improve both inspection efficiency
and accuracy, in this work we describe an explainable deep learning-based
visual quality inspection system tailored for visual inspection of solder
joints in electronics manufacturing environments. At …
artificial artificial intelligence arxiv electronics explainable artificial intelligence intelligence manufacturing trustworthy