Improved YOLOv8s-based foreign object detection method for mine conveyor belts
In low-illumination mine environments, conveyor belt foreign object detection algorithms suffer from insufficient extraction of global image features and an excessive number of model parameters. A method for detecting foreign objects on mine conveyor belts based on an improved version of YOLOv8s was...
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| Main Authors: | LI Runze, GUO Xingge, YANG Fazhan, ZHAO Peipei, XIE Guolong |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2025-06-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2025040068 |
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