https://github.com/nothing-dot-exe/accident-detection-and-alert-system-using-ml

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.
https://github.com/nothing-dot-exe/accident-detection-and-alert-system-using-ml

accident-detection help-to-improve improvement machine-learning ml-project open-source

Last synced: about 2 months ago
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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.

• Host: GitHub
• URL: https://github.com/nothing-dot-exe/accident-detection-and-alert-system-using-ml
• Owner: Nothing-dot-exe
• License: mit
• Created: 2026-03-30T06:08:08.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2026-03-31T06:13:54.000Z (2 months ago)
• Last Synced: 2026-04-04T19:52:55.931Z (2 months ago)
• Topics: accident-detection, help-to-improve, improvement, machine-learning, ml-project, open-source
• Language: Python
• Homepage: https://nothing-dot-exe.github.io/Accident-Detection-and-Alert-System-using-ML/
• Size: 794 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 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

![System Interface 1](assets/screenshot1.png)

![System Interface 2](assets/screenshot2.png)

### Real-Time Detections & Counting

![Car & Human Counting Demo](assets/demo.jpeg)

### Auto-Generated Accident Alerts

When an accident is captured, the system automatically takes high-confidence snapshots of the event:

![Accident Snapshot 1](assets/accident1.jpg)

![Accident Snapshot 2](assets/accident2.jpg)

![Accident Snapshot 3](assets/accident3.jpg)

## 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.