A Survey on Challenges and Solutions of Traffic Surveillance Systems in IoT-Enabled Eco System

Computer vision is crucial in the development of numerous technologies for traffic safety. Here we present survey paper which focuses on the basic idea of Traffic Surveillance techniques used for its detection. Now days we can see that manually traffic monitoring becomes very critical task. Several research projects have been carried out to convert this manual system to fully automated. It will help us to easily track a vehicle. A computer network's availability and smooth functioning are the main goals of network traffic monitoring. In this work, we explore a variety of traffic monitoring approaches, including congestion detection, traffic light control algorithms, cloud computing design for vehicle data classification, and fog computing design for vehicle data classification.