Accident-Detection-and-Alert-System-using-ML-
Accident Detection and Alert System
Welcome to the Accident Detection and Alert System. This project uses advanced AI and computer vision (YOLOv8) to detect traffic accidents in real-time, monitor vehicle interactions, and provide accurate alert snapshots.
Project Snapshots & Demos
Below are some previews and action shots of the system continuously tracking and detecting events.
System Interfaces & Usage
Real-Time Detections & Counting
Auto-Generated Accident Alerts
When an accident is captured, the system automatically takes high-confidence snapshots of the event:
Features
- Real-Time Detection: Rapidly identify crashes from incoming video feeds.
- Bounding Box Tracking: Detailed object tracking using YOLOv8, separating humans and vehicles.
- Precision Validation: Confidence checks and IoU intersection math minimize false-positive alerts.
- Video & Stream Support: Analyze pre-recorded video files (mp4) or live CCTV feeds directly.