Gear Surface Defect Detection Method Based on Improved YOLOx Network

Shuwen Zhang; Zhenyu Zhong; Dahu Zhu

doi:10.3788/LOP230469

Laser & Optoelectronics Progress, Volume. 60, Issue 22, 2215005(2023)

Gear Surface Defect Detection Method Based on Improved YOLOx Network

Shuwen Zhang^1,2, Zhenyu Zhong^1,2, and Dahu Zhu^1,2、*

¹Hubei Key Laboratory of Advanced Technology for Automotive Components, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China

²Hubei Collaborative Innovation Center for Automotive Components Technology, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China

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Shuwen Zhang, Zhenyu Zhong, Dahu Zhu. Gear Surface Defect Detection Method Based on Improved YOLOx Network[J]. Laser & Optoelectronics Progress, 2023, 60(22): 2215005

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Paper Information

Category: Machine Vision

Received: Jan. 9, 2023

Accepted: Mar. 6, 2023

Published Online: Nov. 16, 2023

The Author Email: Dahu Zhu (dhzhu@whut.edu.cn)

DOI:10.3788/LOP230469

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology