Analysis of PCB Board Defect Detection Technology Based on Improved YOLOv8s
This paper describes the significance of defect detection for printed circuit boards(PCB)in ensuring product quality and reliability.It proposes a PCB defect detection system based on improved YOLOv8s,which utilizes deep learning and computer vision technologies to achieve automatic detection and recognition of various defects on PCB boards.
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