Hybrid-YOLOv5 for object detection of non-ferrous metals in end-of-life vehicles

Hybrid-YOLOv5 for object detection of non-ferrous metals in end-of-life vehicles

Abstract In recent years, the detection of non-ferrous metals in end-of-life vehicles (ELVs) has become essential for improving recycling in the circular economy. Traditional methods struggle with accurate detection due to the variety of metals and challenging industrial environments. This study pro...

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Bibliographic Details
Main Authors: Youdong Jia, Yuhang Zhang, Rui Yang, Xinzhi Li, Zhengfang Li, Sibo Yao, Jiaxing Zeng, Ziyue Zhu, Yuanxin Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Non-ferrous metals detection
End-of-life vehicles
YOLOv5
Deep learning
Infrared images
Online Access:https://doi.org/10.1038/s41598-025-02683-8
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https://doi.org/10.1038/s41598-025-02683-8

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