YOLO-SUMAS: Improved Printed Circuit Board Defect Detection and Identification Research Based on YOLOv8
Aiming at the demand for defect detection accuracy and efficiency under the trend of high-density and integration in printed circuit board (PCB) manufacturing, this paper proposes an improved YOLOv8n model (YOLO-SUMAS), which enhances detection performance through multi-module collaborative optimiza...
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| Main Authors: | Ying Tang, Runhao Liu, Sheng Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/16/5/509 |
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