360Labs, home

14 / Defense

AI Counter-UAS System

We built a drone-detector that sees and hears incoming drones using AI running on the device itself, so it works at a forward post with no network and no cloud.

Client
Undisclosed (Under NDA)
Stack & approach
DefenseCounter-UASOn-Device MLEdge AIZero Network
Interface screens from AI Counter-UAS System
Interface, from the 360Labs case-study deck (page 23).

The problem

Small unmanned aerial systems are a growing threat across critical installations. Existing counter-UAS solutions are expensive, dependent on external infrastructure, and slow to deploy at forward positions.

Solution & architecture

A lightweight on-device counter-UAS stack combining visual and acoustic deep-learning models. Multi-sensor detection runs entirely on standard hardware with no network dependency, deployable at the tactical edge in denied or degraded environments.

Why it is built this way

  • Runs on-device

    No cloud, no external infrastructure

  • Works denied/degraded

    Zero network dependency at the edge

  • Standard hardware

    Deployable at forward positions