YOLOv5-Based Lightweight Algorithm for Detecting Bottle-Cap Packaging Defects

Lei Zhao; Likuan Jiao; Ran Zhai; Bin Li; Meiye Xu

doi:10.3788/LOP231231

Laser & Optoelectronics Progress, Volume. 60, Issue 22, 2210009(2023)

YOLOv5-Based Lightweight Algorithm for Detecting Bottle-Cap Packaging Defects

Lei Zhao^1,2,3、*, Likuan Jiao^1,2,3、**, Ran Zhai^1,2,3, Bin Li^1,2,3, and Meiye Xu^1,2,3

¹Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, Tianjin University of Technology, Tianjin 300384, China

²National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology), Tianjin 300384, China

³School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China

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Lei Zhao, Likuan Jiao, Ran Zhai, Bin Li, Meiye Xu. YOLOv5-Based Lightweight Algorithm for Detecting Bottle-Cap Packaging Defects[J]. Laser & Optoelectronics Progress, 2023, 60(22): 2210009

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Paper Information

Category: Image Processing

Received: May. 6, 2023

Accepted: Jun. 25, 2023

Published Online: Nov. 6, 2023

The Author Email: Lei Zhao (leizhaotjut@163.com), Likuan Jiao (1913194980@qq.com)

DOI:10.3788/LOP231231

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology