Research on the Perception Method of Traffic Volume in Open Pit Mining Area Based on Yolov5 and Deepsort

Abstract

The traffic volume of open-pit mining area is one of the indicators to measure the traffic saturation degree of open-pit mining area. Accurate perception of the traffic volume in the open-pit mining area can provide a basis for the dispatching and command of production scheduling and supervisal in the mining area, promote the improvement of transportation efficiency, enhance the transportation safety in the mining area, achieve intelligence for the construction of intelligent mine, and better meet the actual requirements of customers. On the scene of open-pit mining area, this paper uses the image acquisition module of RSU(roadside unit) at the height of the pit to detect traffic volume in open-pit mining area based on yolov5 and deepsort algorithm. The results of experiments show that this method can detect traffic volume accurately and effectively, and has strong robustness and good generalization ability.