PCB-YOLOV8X: a network for detecting micro-sized defects on PCB surfaces based on enhanced feature information

Abstract To address the challenges in PCB surface defect detection, including high labor costs, low detection efficiency, and insufficient detection accuracy, this study innovatively proposes a PCB surface micro-defect detection network called PCB-YOLOV8X based on the YOLOv8 model. By integrating th...

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التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Xiaoyan Xu, Jennifer C. Dela Cruz, Ye Wang
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Nature Portfolio 2026-03-01
سلاسل:	Scientific Reports
الموضوعات:	PCB surface defect detection Yolov8 model Micro-sized defects Adaptive feature extraction Feature enhancement Loss function
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-026-46089-6
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!