Foreign object detection for mining conveyor belts based on YOLOv5n-CND

Foreign object detection for mining conveyor belts based on YOLOv5n-CND

To address the issues of complex background in foreign object images, weak feature extraction, low detection accuracy for adhering small objects, and distortion in detection box positioning and scale, a foreign object detection algorithm for mining conveyor belts based on YOLOv5n-CND is proposed. Fi...

Full description

Saved in:
Bibliographic Details
Main Authors: SUN Aoran, ZHAO Peipei, YANG Di, ZHANG Junyi, YU Hongjian
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2025-01-01
Series:Gong-kuang zidonghua
Subjects:
mining conveyor belts
foreign object detection
adhering small object detection
yolov5n
c2f module
normalized gaussian wasserstein distance module
dyhead detection head
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024030070
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024030070

Similar Items