PCB defect detection algorithm based on CDI-YOLO
Abstract During the manufacturing process of printed circuit boards (PCBs), quality defects can occur, which can affect the performance and reliability of PCBs. Existing deep learning-based PCB defect detection methods are difficult to simultaneously achieve the goals of high detection accuracy, fas...
| Published in: | Scientific Reports |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-03-01
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| Online Access: | https://doi.org/10.1038/s41598-024-57491-3 |