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PCB Component Detection using Computer Vision for Hardware Assurance. (arXiv:2202.08452v1 [cs.CV])
Feb. 18, 2022, 2:10 a.m. | Wenwei Zhao, Suprith Gurudu, Shayan Taheri, Shajib Ghosh, Mukhil Azhagan Mallaiyan Sathiaseelan, Navid Asadizanjani
cs.CV updates on arXiv.org arxiv.org
Printed Circuit Board (PCB) assurance in the optical domain is a crucial
field of study. Though there are many existing PCB assurance methods using
image processing, computer vision (CV), and machine learning (ML), the PCB
field is complex and increasingly evolving so new techniques are required to
overcome the emerging problems. Existing ML-based methods outperform
traditional CV methods, however they often require more data, have low
explainability, and can be difficult to adapt when a new technology arises. To
overcome …
More from arxiv.org / cs.CV updates on arXiv.org
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