Web DevelopmentNov 2025

AI-Powered Intelligent Traffic Signal System

Computer Vision Based Traffic Management

Overview

An AI-driven intelligent traffic management system that uses computer vision and deep learning to monitor and control traffic signals in real time.

Key features

Computer-vision vehicle detection with PyTorch and OpenCV
Dynamic signal timing based on traffic density
React dashboard on Flask APIs to visualize detections and signal decisions
Smart-city approach to urban congestion

This project is an AI-driven intelligent traffic management system that uses computer vision and deep learning to monitor and control traffic signals in real time. The system processes live video feeds from traffic cameras and dynamically adjusts signal timing.

How It Works

The system detects vehicles on multiple roads and analyzes traffic density using PyTorch and OpenCV. Based on this data, it dynamically adjusts the green signal timing to prioritize heavily congested roads while minimizing delays for lighter traffic lanes.

System Architecture

The backend is powered by Flask, handling real-time AI inference, traffic data processing, and communication with the frontend via REST APIs. The frontend is built with ReactJS and Bootstrap, offering a clean, responsive interface that visualizes traffic density and signal states.

Real-timeVehicle detection

DynamicSignal timing

PyTorchDeep learning

Flask + ReactAPI & dashboard