计算机技术与发展2024，Vol.34Issue(5)：196-204,9.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0060
面向筛面复杂背景的矿山异物视觉检测方法
A Visual Detection Method of Foreign Bodies in Mines Facing Complex Background of Screen Surface
摘要
Abstract
Foreign bodies detection in mines is the premise of intelligent removal of foreign bodies,but also the key to ensure the safe op-eration of equipment and the normal production of the diggings.Foreign bodies come from a wide range of sources and various types in the process of mines production.Aiming at the problems of poor adaptability and low efficiency of traditional foreign bodies detection methods,a foreign bodies detection algorithm model for surface of large vibrating screen was proposed.In order to solve the interference of complex environment such as violent vibration,shielding of ore,dust and water mist,the improved Explicit Vision Center block(EVCBlock),lightweight up-sampling operator CARAFE and gradient gain loss function WiseIoU-v3 based on dynamic non-monotony focusing mechanism are introduced in this model,which effectively improve the detection performance of foreign bodies in complex envi-ronment.The model with TensorRT optimization was deployed to the edge computing device Jetson Xavier NX to achieve foreign object detection on the edge side.The results show that the proposed model is better than other models in detecting foreign bodies on the vibrating screen surface.After multithreaded video push streaming test,the average accuracy of deploying to the edge computing device can reach96.3%,and the average frame rate can reach more than25 FPS,which meets the actual detection requirements.关键词
矿山异物检测/振动筛/强干扰/Antijam-YOLO/边缘计算Key words
foreign bodies detection in mines/vibrating screen/violent interference/Antijam-YOLO/edge computing分类
信息技术与安全科学引用本文复制引用
刘善明,余新阳,欧阳魁..面向筛面复杂背景的矿山异物视觉检测方法[J].计算机技术与发展,2024,34(5):196-204,9.基金项目
国家自然科学基金(52264023) （52264023）
