Advanced drone detection technology that listens, identifies, and locates unmanned aerial threats in real time.
Unmanned aerial vehicles are rapidly proliferating across civilian and military domains. Without effective detection, drones pose escalating risks to critical infrastructure, privacy, and public safety.
A distributed network of sensors captures ambient audio, processes it through machine learning models, and delivers actionable intelligence to operators.
Distributed microphone nodes continuously capture ambient audio across the monitored area. Every phone becomes a sensor in a mesh detection network.
A trained ML model extracts MFCC acoustic features and identifies drone-specific sound signatures in real time using ONNX neural network inference.
When multiple nodes detect a drone, triangulation estimates its position. Operators receive instant alerts with confidence scores and a live tracking map.
Acoustic drone detection powered by machine learning. Turn any smartphone into a drone detection node — no specialized hardware required.
Uses your phone's microphone to capture and analyze ambient audio for drone acoustic signatures.
Neural network trained on a large drone audio database recognizes multiple drone types with high accuracy.
Deploy multiple phones to create a detection mesh. Triangulation locates the drone and tracks its movement.
No app installation required. Works directly in your mobile browser with real-time processing on-device.