PCB defect detection based on YOLOV8 architecture
The paper discusses the key factors and trends in the design and production of printed circuit boards (PCB), which determine the state of the art of the automatic PCB inspection. To search for and classify defects, it is proposed to use the method of detecting defects in images based on the YOLO fam...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Belarusian National Technical University
2024-09-01
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| Series: | Системный анализ и прикладная информатика |
| Subjects: | |
| Online Access: | https://sapi.bntu.by/jour/article/view/671 |
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