In Counter-UAS (C-UAS) applications acoustic monitoring systems typically consist of an array of microphones (or particle velocity probes), used to detect the presence of drones. Most incorporate neural networks, with classification algorithms matching detected audio signatures to libraries of known threats.

A strike drone hurtles towards a target in Ukraine. A poacher takes a shot at an endangered bird in Bolivia. Unseen by human eyes both are nonetheless being monitored - by AI-enhanced ‘artificial ears’. Tiny listening stations trigger appropriate responses; be it an air raid alert helping civilians seek shelter or the dispatch of an anti-poaching enforcement team.