Research on X-ray nondestructive defect detection method of tire based on dynamic Snake Convolution YOLO model

Abstract Tire X-ray nondestructive testing before leaving the factory is crucial for driving safety. Given the complexity of tire structures and the diversity of defect types, traditional manual visual inspections and machine learning methods face significant challenges in terms of accuracy and effi...

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Главные авторы:	Guangpeng Xu, Aijuan Li, Xibo Wang, Chuanyan Xu, Jiaqi Chen, Fei Zheng
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2024-11-01
Серии:	Scientific Reports
Предметы:	Tire defect detection Dynamic snake convolution YOLOv5
Online-ссылка:	https://doi.org/10.1038/s41598-024-80006-z
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