Yao, R.; Qi, P.; Hua, D.; Zhang, X.; Lu, H.; Liu, X. A Foreign Object Detection Method for Belt Conveyors Based on an Improved YOLOX Model. Technologies2023, 11, 114.
Yao, R.; Qi, P.; Hua, D.; Zhang, X.; Lu, H.; Liu, X. A Foreign Object Detection Method for Belt Conveyors Based on an Improved YOLOX Model. Technologies 2023, 11, 114.
Yao, R.; Qi, P.; Hua, D.; Zhang, X.; Lu, H.; Liu, X. A Foreign Object Detection Method for Belt Conveyors Based on an Improved YOLOX Model. Technologies2023, 11, 114.
Yao, R.; Qi, P.; Hua, D.; Zhang, X.; Lu, H.; Liu, X. A Foreign Object Detection Method for Belt Conveyors Based on an Improved YOLOX Model. Technologies 2023, 11, 114.
Abstract
As one of the main equipment of coal transportation, the belt conveyor with detection system is an important direction for the development of intelligent mine. The occurrences of non-coal foreign objects making contact with belts are common phenomenon in complex production environments and improper human operations. In order to avoid major safety accidents caused by scratches, deviation and breakage of the belt, a foreign object detection method is proposed for belt conveyor in this work. Firstly, a foreign object image dataset is collected and established, and IAT image enhancement module and attention mechanism of CBAM are proposed to enhance image data sample. Moreover, to predict the angle information of foreign objects with large aspect ratios, a rotating decoupling head is designed, and a MO-YOLOX network structure is constructed. Some experiments are carried out with the belt conveyor in the mine intelligent mining equipment laboratory, and the detections of different foreign objects are analyzed. Experimental results show that the accuracy, recall, and mAP50 of the proposed rotating frame foreign object detection method reaches 93.87%, 93.69%, and 93.72%, and the average inference time of foreign object detection is 25 ms.
Keywords
Belt conveyor; foreign object detection; YOLOX; image enhancement; rotation detection
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
