Projects/Computer Vision/Intelligent Traffic Monitoring & Acciden...
Computer Vision🎓 Final YearAdvanced

Intelligent Traffic Monitoring & Accident Detection System

A computer vision system that monitors traffic density, detects accidents in real-time from CCTV feeds, and triggers automated emergency alerts.

PythonYOLOOpenCVReactFastAPIWebSockets
Tier
Premium
License
Academic
Includes
10 items
Modules
5
₹2,499
One-time purchase • Lifetime access

This kit includes:

  • Complete source code
  • Pre-trained YOLO model weights
  • Sample video datasets
  • Architecture diagrams
  • SRS and abstract
  • Literature survey on CV traffic systems
  • +4 more items
Secure payment via Razorpay
Instant access after purchase
Educational license included

About This Project

This project implements an end-to-end intelligent traffic management system using computer vision and deep learning to monitor traffic flow, detect accidents, identify traffic violations, and automatically trigger emergency response alerts. The system processes video feeds (live or recorded), applies YOLO object detection to identify vehicles, accidents, and violations, and provides real-time analytics on a web dashboard. **Demonstrability:** This project has excellent visual demonstrations — you can show real-time detection working on video feeds, making it highly impressive for final year presentations and viva examinations.

Project Modules

01
Detection Engine
YOLO-based real-time vehicle and incident detection
02
Video Stream Processor
Frame extraction, processing, and analysis
03
Alert System
Automated emergency notifications on accident detection
04
Analytics Dashboard
Real-time traffic stats and historical reports
05
Camera Manager
Multi-feed configuration and monitoring
₹2,499

Tags

computer visionyolotraffic monitoringaccident detectionopencvfinal year