30 August 2026 · Illustrative image: © Petermaszlen / Dreamstime.com.
UXMachines is researching an early warning approach to drone threats using a meshed network of low-cost optical sensor nodes. The project will investigate how distributed observations could support detection and tracking near vital assets, giving those responsible for their protection earlier information about potential aerial activity.
The challenge
Small uncrewed aircraft can present a fast-moving threat to personnel, infrastructure and critical assets. Early warning depends on detecting activity in time to build a useful picture of what is happening. This research examines whether a network of optical sensors can contribute to that picture across a wider area.
Research approach
The project focuses on low-cost optical sensor nodes connected in an end-to-end meshed network. It will investigate the potential of this approach to detect and track drones and provide timely information about UAS activity. The research will assess how such a network could support earlier warning and improve situational awareness.
Intended outcome
Our goal is to explore an affordable, distributed early warning layer that could improve situational awareness and give operators more time to assess an emerging threat. The project is directed toward the protection of Defence personnel, infrastructure and critical assets.
Project details
Formal title: End-to-End Meshed Network of Low SAaP-C Optical Sensor Nodes to Provide Early Warning Capability to Vital Assets from UAS Threats.
Funding: $190,000 awarded through the Western Australian Government’s 2025–26 Defence and Research Teaming (DaRT) program, administered by Defence West’s Defence Science Centre.