An Intelligent Monitoring System of Vehicles on Highway Traffic

TL;DR

This paper introduces a cost-effective, intelligent vehicle speed monitoring system using HD cameras and image processing techniques to improve highway traffic management and reduce accidents.

Contribution

It presents a novel framework combining pattern recognition and digital image processing for vehicle detection, tracking, and speed measurement using roadside HD cameras.

Findings

System effectively tracks vehicles in real-time

Accurate speed calculation demonstrated on various highways

Cost-efficient alternative to traditional radar and lidar systems

Abstract

Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. A poor management results in frequent traffic jam, traffic rules violation and fatal road accidents. Using traditional techniques of RADAR, LIDAR and LASAR to address this problem is time-consuming, expensive and tedious. This paper presents an efficient framework to produce a simple, cost efficient and intelligent system for vehicle speed monitoring. The proposed method uses an HD (High Definition) camera mounted on the road side either on a pole or on a traffic signal for recording video frames. On the basis of these frames, a vehicle can be tracked by using radius growing method, and its speed can be calculated by calculating vehicle mask and its displacement in consecutive frames. The method uses pattern recognition, digital image processing and mathematical techniques for vehicle detection, tracking and speed calculation. The validity of the proposed model is proved by testing it on different highways.