Traffic surveillance for smart city in internet of things environment

Abstract

. In urban cities, there is an enormous increase of public and private vehicles. Due to significant rise in traffic, the high congestion and air pollution are observed. In real time, traffic surveillance is a challenging issue, which requires simultaneous monitoring and controlling. With the advancement in technology, this task is possible using Internet of Things, which provides a low cost, scalable and reliable solution. In this paper, we propose an IoT-based low cost and real time solution for vehicle counting and lane violation. A system was developed based on embedded IoT device using Raspberry Pi-3 and evaluated the proposed algorithm on it.