During open-pit coal mining,it is necessary to manually count the car cars and vehicles in the pit,which has problems such as high labor intensity,inaccurate or omitted counting.This research installs a camera in the mine buckle,combines advanced image recognition and intelligent algorithms,and adopts a target detection model and optimization algorithm based on YOLOV5 to dynamically identify the characteristics and unloading behavior of the mine car,realizing the automatic identification and counting of the mine car for transportation and unloading,which greatly improves the accuracy of the mine car counting,and greatly reduces the labor intensity of the operator,providing valuable reference and reference for the intelligent upgrade of the coal preparation plant.
维普
万方数据