DSRD-YOLO: A Lightweight and High-Precision Framework for PCB Defect Detection

High-density printed circuit board (PCB) manufacturing requires reliable and efficient defect inspection. However, existing automated visual inspection methods are often challenged by small defect scales, complex background textures, and imaging noise. To address these issues, this paper proposes DS...

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Autori principali:	Zhijian Zheng, Bing Li, Dongdong Fan, Minjie Yu, Zhaoxing Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Access
Soggetti:	Printed circuit board (PCB) inspection micro-defect detection YOLOv8 dynamic spatial downsampling directional spatial attention industrial machine vision
Accesso online:	https://ieeexplore.ieee.org/document/11599549/
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