REAL-TIME VEHICLE DETECTION AND COUNTING SYSTEM USING OPEN CV

Project Algorithm :

OPENCV , RNN

Project Overview :

Monitoring and managing traffic is a critical need in urban areas where road congestion and violations are increasing. Traditional methods for vehicle counting, like manual surveys or sensor-based systems, are inefficient, costly, and prone to error. This project proposes a Real-Time Vehicle Detection and Counting System using OpenCV and computer vision techniques to automatically detect and count vehicles in traffic video feeds. The system leverages frame-by-frame analysis and object detection models to identify vehicles and increment counters as they cross a virtual detection line. It can be deployed for traffic management, road analytics, or surveillance in smart city environments.

Reference Video : -