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Russian acoustic AI system detects drones via cell-tower microphones with edge processing

Published 27 June 2026

A Russian engineering firm has developed an edge-AI acoustic drone detection system designed for cellular tower infrastructure. One microphone per tower feeds a low-cost local processor that runs a real-time algorithm to distinguish drone motor and blade acoustic signatures — described as unique “acoustic portraits” for each airframe type — from background noise such as wind, traffic, and birds. The company reports a working prototype and says the receiver unit cost is within tens of thousands of rubles per node.

Sources — 1 post

barantchik adversary24 Jun 2026 Open the post

Topicsdrones ai warfare electronic warfare

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