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Lithuanian startup launches open-source network to detect Shahed-type drones

The Drone Radar initiative has launched an open-source acoustic detection network that utilizes volunteer Android smartphones to identify and track Shahed-type drones across the Baltic region and Poland.

Key Points

  • Volunteers place powered, window-facing Android phones running the Drone Radar app to monitor for specific low-frequency drone engine signatures.
  • The system triangulates drone locations by cross-referencing acoustic data collected from multiple nearby devices in the network.
  • The project is led by the startup Mainline in collaboration with the Lithuanian Artificial Intelligence Association and the Baltic Institute of Technology.
  • Organizers aim to recruit 10,000 active participants to establish the largest civic acoustic drone detection network in the Baltic states.
  • Future expansion plans include integrating audio from residential surveillance cameras and installing sensors on telecommunications towers.

Why it Matters

This crowdsourced approach creates a scalable, low-cost security layer that enhances regional situational awareness against aerial threats. By leveraging existing consumer hardware, the initiative demonstrates a new model for civic-led defense technology and public-private cooperation in national security.
Www.lrt.lt Published by LRT.lt
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