Automated Traffic Control for Rescue Vehicles
Ashish Kurien Siby · International Journal for Research in Applied Science and Engineering Technology · 2021
Because of the population boom, there is an exponential rise in the number of physical objects or vehicles on the road.As a result of the increased traffic volume, the number of road accidents rises.In this article, traffic flow is controlled using a computer vision paradigm, in which images or a series of images improves the road view.This research work employs the camera module of the Raspberry Pi along with the Raspberry Pi 3 to detect cars, track, and estimate traffic flow using low-cost electronic devices.It also intends to create a remote access system based on the Raspberry Pi that will identify, track, and count vehicles only when certain variations occur in the monitored region.The proposed system collects video streams such as vehicles in the monitored region in order to compute information and transmit the compressed video stream in order to provide a videobased solution, which is primarily implemented in Open CV using Python programming.The proposed method is considered as an economical solution for industries in which cost-effective solutions are developed for traffic management.I.