Research on the Lightweight Gear Surface Defect Detection Algorithm Based on BN-YOLOv5

Research on the Lightweight Gear Surface Defect Detection Algorithm Based on BN-YOLOv5

A pretty crucial step in the manufacturing of gears is the defect detection on gear surfaces. An algorithmic detection model called BN-YOLOv5 which is based on an improved YOLOv5 is proposed in order to increase the accuracy of gear surface defect detection. Firstly, the technique strengthens the ne...

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Bibliographic Details
Main Authors: Zhao Xiaohui, Zhang Zhijie, Hu Sheng, Huan Kaixuan, Liu Lei, Pu Junping
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2024-05-01
Series:Jixie chuandong
Subjects:
Gear surface
Defect detection
YOLOv5
Lightweight
NAM attention mechanism
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.05.020
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