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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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Principais autores: Xiaoyan Xu, Jennifer C. Dela Cruz, Ye Wang
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2026-03-01
Serier:Scientific Reports
Fag:
PCB surface defect detection
Yolov8 model
Micro-sized defects
Adaptive feature extraction
Feature enhancement
Loss function
Online adgang:https://doi.org/10.1038/s41598-026-46089-6
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