A deep learning approach for automated PCB defect detection: A comprehensive review
The ever-expanding market for electronic devices has significantly heightened the demand for high-quality printed circuit boards (PCBs). Even minor defects in PCBs can pose substantial safety risks for end-users. This article provides a comprehensive review on deep learning-based approaches for PC...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Malque Publishing
2024
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| Online Access: | http://eprints.utem.edu.my/id/eprint/28825/2/0112231122024194837.pdf http://eprints.utem.edu.my/id/eprint/28825/ https://malque.pub/ojs/index.php/mr/article/view/5118/2443 https://doi.org/10.31893/multirev.2025011 |
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