Disturbance Tracker

Disturbance Tracker (DTrack) is Surveilance Software that uses Machine Learning learn about and report on local disturbances, using low-end hardware that does not need subscription-based services.

Details and Documentation: https://rtaas.github.io/disturbance-tracker/

How It Works

1. Set up Monitoring Device (like a Raspberry Pi)
2. Collect some initial recordings
3. Train a model from collected recordings
4. Use trained model for automatic detection