An Optimization Method for PCB Surface Defect Detection Model Based on Measurement of Defect Characteristics and Backbone Network Feature Information

An Optimization Method for PCB Surface Defect Detection Model Based on Measurement of Defect Characteristics and Backbone Network Feature Information

Printed Circuit Boards (PCBs) are essential components in electronic devices, making defect detection crucial. PCB surface defects are diverse, complex, low in feature resolution, and often resemble the background, leading to detection challenges. This paper proposes the YOLOv8_DSM algorithm for PCB...

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Bibliographic Details
Main Authors: Huixiang Liu, Xin Zhao, Qiong Liu, Wenbai Chen
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
defect detection
PCB
explainability
YOLOv8
target characteristics
Online Access:https://www.mdpi.com/1424-8220/24/22/7373
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