v1.0.0

🚦 AmbuRouteAI v1.0.0 - Release Notes

📌 Features

✅ AI-Powered Traffic Signal Control

• YOLOv8 Integration for real-time vehicle detection and traffic density measurement.
• Dynamic traffic light control based on ambulance proximity.

✅ Ambulance Tracking & Routing

• GPS-based tracking of ambulances using /update_gps API endpoint.
• Google Maps API integration to check ambulance distance from traffic signals.
• Automated route optimization for ambulances to the nearest hospital.

✅ Traffic Density Measurement

• Uses YOLOv8 object detection to count vehicles at intersections.
• Dynamic signal adjustments based on real-time traffic density.

✅ Video & Live Camera Feed Support

• Video File Input: Process traffic video streams from MP4 files.
• Live Webcam Feed: Support for real-time camera monitoring.

✅ Real-time Visualization

• Traffic light rendering on video feed.
• Bounding boxes for detected vehicles to analyze congestion levels.

✅ API & Backend Features

• Flask API to receive and process ambulance GPS data.
• Uses Google Distance Matrix API to determine ambulance proximity.
• Dynamic response adjustments based on ambulance location and route ETA.

🛠 Installation & Setup

1. Install dependencies:

   pip install -r requirements.txt

2. Start traffic monitoring:

   python main.py -p path/to/video.mp4  # For video input

   or

   python main.py -l  # For live webcam feed

🚀 Future Enhancements (Planned for v1.1.0)

• Cloud-based monitoring for multiple traffic intersections.
• Integration with city-wide traffic management systems.
• Advanced deep learning models for improved vehicle classification.
• Public dashboard for emergency services to track ambulance movements.

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🏥 AmbuRouteAI - Making Smart Traffic for Emergency Response 🚑