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...
I tiakina i:
| Ngā kaituhi matua: | , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Nature Portfolio
2024-03-01
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| Rangatū: | Scientific Reports |
| Urunga tuihono: | https://doi.org/10.1038/s41598-024-57491-3 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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