YOLO-STOD: an industrial conveyor belt tear detection model based on Yolov5 algorithm

YOLO-STOD: an industrial conveyor belt tear detection model based on Yolov5 algorithm

Abstract Real-time detection of conveyor belt tearing is of great significance to ensure mining in the coal industry. The longitudinal tear damage problem of conveyor belts has the characteristics of multi-scale, abundant small targets, and complex interference sources. Therefore, in order to improv...

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Bibliographic Details
Main Authors: Wei Liu, Qing Tao, Nini Wang, Wendong Xiao, Cen Pan
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
BELT tearing
Yolo algorithm
Real-time detection
Deep learning
Small object detection
Online Access:https://doi.org/10.1038/s41598-024-83619-6
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