Enhanced YOLOv11 framework for high precision defect detection in printed circuit boards
Abstract This paper presents YOLOv11-PCB, an enhanced deep learning framework specifically designed for automated defect detection in Printed Circuit Boards (PCBs). PCBs are fundamental components in modern electronics, and their reliability hinges on precise defect localization. Conventional inspec...
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| Format: | Artigo |
| Sprache: | Inglês |
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Nature Portfolio
2025-11-01
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| Schriftenreihe: | Scientific Reports |
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| Online-Zugang: | https://doi.org/10.1038/s41598-025-27415-w |
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