基于AI视频识别技术的高速公路异常事件监测系统研究

Research on Highway Anomaly Event Monitoring System Based on AI Video Recognition Technology

高速公路上经常出现车辆超速、违章停车、逆行、抛洒物等异常事件,为了在出现异常事件时能够自动快速识别并预警,通过硬件的物理部署、软件的搭建以及YOLOv5目标检测及DeepSort目标跟踪技术的研究及应用,开发出应用于高速公路异常事件的智能化自动化检测及预警系统。并通过落地案例验证方案的可行性及实用性,为高速公路异常事件的快速识别及预警提供借鉴和参考。

The vehicle speeding, illegal parking, retrograde, throwing objects and other abnormal events often appear on the highway,in order to automatically quickly identify and conduct early warning when the abnormal events occur, through the physical deployment of hardware, software construction, YOLOv5 target detection, research and application of DeepSort target tracking technology, this paper develops an intelligent automatic detection and early warning system which is applied to abnormal events on the highway. It verifies the feasibility and practicality of the scheme through the landing cases, provides reference for the rapid identification and early warning of abnormal events on the highway.