Live sound visualisation
A live spectrogram and signal waveform in real time.
A desktop application that listens to the surroundings through a microphone mounted on a parabolic dish, recognises drone sounds and triggers an alarm. All processing runs locally, without the cloud.

A live spectrogram and signal waveform in real time.
Identifies drone sounds using acoustic signatures from a library of around 2,700 recordings.
A sonar-style view of the forward sector, left-to-right sectors and a “Maximum” indicator that retains the strongest direction.
Select a tone in the spectrogram with the mouse and suppress it with a single click. Helps reduce wind noise, electronic interference and persistent hum.
Learns the ambient sound at the location and filters out the background.
Import WAV files, select excerpts from YouTube and confirm alarms with Yes/No feedback to progressively improve recognition.
Expandable dataset packs and plug-in support for AI models.