gauravhegade/Accident-Detection-and-Notification

This project is designed to identify accidents and categorize them as 'moderate' or 'severe' and instantly notify authorities through Email and WhatsApp messages, with the added visual cue of an RGB LED. The model is trained efficiently and the system is well optimized for it to work on a RaspberryPi.

20
/ 100
Experimental

This system helps improve road safety by automatically detecting accidents in real-time video streams, static images, or recorded videos. It analyzes visual input to identify accidents, classifying them as moderate or severe, and then instantly notifies authorities via email and WhatsApp, accompanied by an RGB LED visual alert. It's designed for traffic management personnel, emergency services, or road safety administrators who need immediate incident awareness.

No commits in the last 6 months.

Use this if you need an automated way to monitor road footage for accidents and trigger immediate alerts to emergency responders.

Not ideal if you require detailed accident reconstruction or in-depth forensic analysis beyond basic detection and notification.

road-safety emergency-response traffic-management incident-notification public-safety
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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Stars

11

Forks

1

Language

Python

License

Last pushed

Nov 21, 2024

Commits (30d)

0

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