An AI-Powered Traffic Management for Emergency Vehicles.
AmbuRouteAI is an AI-powered traffic management system that detects ambulances in real-time and dynamically controls traffic signals to provide a clear path for emergency vehicles. Using YOLOv8 for object detection and OpenCV for traffic light simulation, this system helps reduce ambulance response time and enhances emergency healthcare logistics.
- Real-time Ambulance Detection – Uses YOLOv8 AI to identify ambulances from live traffic feeds.
- Smart Traffic Signal Control – Dynamically changes traffic lights using OpenCV when an ambulance is detected.
- Live Video Processing – Works with webcams or traffic camera feeds to analyze road conditions.
- Seamless Integration – Can be extended to IoT-enabled smart city infrastructure.
- Scalable & Efficient – Future-ready for integration with Google Maps API for real-time route optimization.
| Component | Technology/Tool |
|---|---|
| AI Model | YOLOv8 (Ultralytics) |
| Computer Vision | OpenCV, NumPy |
| Backend | Python |
| Traffic Simulation | OpenCV |
| Live Video Input | Webcam / CCTV Feed |
- AI-Powered Detection – YOLOv8 identifies ambulances in real-time from traffic video feeds.
- Traffic Light Control – If an ambulance is detected, the traffic light turns green; otherwise, it remains red.
- Visual Alerts & UI – The system draws bounding boxes around detected ambulances and simulates traffic signals.
- Extensibility – The project can integrate with Google Maps API & IoT sensors for smarter city-wide traffic control.
Download yolov8n.pt
git clone https://github.com/mantreshkhurana/AmbuRouteAI.git
cd AmbuRouteAI
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python main.py -p traffic_video.mp4 # Use an MP4 file
python main.py -l # For live webcam feedOptional: set
GOOGLE_MAPS_API_KEYin your environment to enable GPS proximity checks and route optimization.
- Integrate with Google Maps API – Real-time traffic data for route optimization.
- IoT-Based Smart Traffic Signals – Connect with Raspberry Pi & Arduino for real-world applications.
- Hospital Alert System – Send emergency notifications to hospitals about incoming patients.
- Mobile App Interface – Develop an ambulance tracking app with live traffic updates.