Project3
Real-Time AI Based Traffic Management System
🚦Real-Time AI Based Traffic Management System
Author: Deepak Annapureddy
Tools Used: Python, OpenCV, YOLOv11, Flask
🔍 Project Overview
- This project is an AI-based traffic management system that detects vehicles from CCTV/video feeds and dynamically controls traffic signals.
- It uses YOLOv11 for real-time object detection and calculates traffic density based on vehicle count.
🎯 Project Objectives
- Detect vehicles in real-time using deep learning
- Estimate traffic density (Low / Medium / High)
- Dynamically adjust traffic signal timing
- Provide ambulance priority system
- Display live dashboard using Flask
📊 Project Outputs
⚙️ System Working
- Input video is captured from CCTV or file
- Frames are processed using OpenCV
- YOLOv11 detects vehicles in each frame
- Vehicle count determines traffic density
- Signal timing is adjusted dynamically
📈 Results
- Achieved 95–97% detection accuracy
- Real-time processing at 20–30 FPS
- Efficient in dense traffic conditions