Intelligent Traffic Management

This project aims to develop an Intelligent traffic management system using YOLO V5 and Intel OneAPI toolkit to address the problem of traffic congestion in cities around the world. The system will consist of cameras placed at different intersections and roads to capture live video feeds of the traffic. The YOLO V5 algorithm will be used to detect and classify vehicles on the road. The system will be trained on a large dataset of different types of vehicles to improve its accuracy. The system will also monitor the traffic flow and adjust traffic signals accordingly to improve the flow of traffic.

Number Plate Detection using OpenCV-Python 4.5.3.56 or above: In addition to the vehicle detection and traffic management system, this project also includes number plate detection using OpenCV-Python 4.5.3.56 or above. The number plate detection module is developed using image processing techniques, and it can detect and recognize the number plates of vehicles passing through the camera feeds