DroneAid
An open-source system that uses machine learning on drone video to detect standardized ground symbols indicating disaster victims' needs.
What is DroneAid?
DroneAid is an open-source aerial scouting system that uses machine learning to detect standardized symbols placed on the ground by disaster victims. It analyzes live drone video to identify calls for help—such as requests for water, food, or medical aid—and plots them on a dashboard for first responders. The project solves the critical problem of assessing needs quickly when communication networks are destroyed.
First response organizations, humanitarian aid groups, and developers building disaster relief technology who need to automate the detection of visual distress signals from aerial footage.
Developers choose DroneAid because it provides a complete, open-source pipeline—from a UN-aligned symbol standard to a real-time detection model—specifically designed for low-resource environments. Its ability to work with affordable drones and run in-browser via TensorFlow.js makes it deployable without heavy infrastructure.
Overview
Aerial scout for first responders. DroneAid uses machine learning to detect calls for help on the ground placed by those in need.
Use Cases
Best For
- Rapid damage assessment after natural disasters like hurricanes or earthquakes
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