A Detection Algorithm for Surface Defects of Printed Circuit Board Based on Improved YOLOv8
Improving detection accuracy is a challenging task when detecting defects in PCBs. To conquer the issue of degradation of recognition performance of existing intelligent detection algorithms in different environments, we present an improved algorithm, IEMA-YOLOv8, based on YOLOv8. First, we design a...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2024-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10752944/ |
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