Sourcehere

AUSA 2026

Booth: 4328

Frontline Perception System

TurbineOne

The Frontline Perception System (FPS) is an edge-optimised, modular software platform that delivers AI/ML-enabled autonomy, real-time automatic target recognition (ATR), and multi-intelligence sensor fusion across air, land, and maritime environments. Purpose-built for operations in contested, degraded, and disconnected conditions, FPS performs onboard inference, autonomously cues sensors, and shares actionable detections across distributed manned and unmanned platforms—without reliance on cloud infrastructure or persistent connectivity.

FPS is designed to operate seamlessly across a full spectrum of uncrewed systems (UxS)—including all groups of unmanned aerial systems (UAS), unmanned ground vehicles (UGVs), and maritime platforms—as well as crewed assets. Through its decentralised architecture and embedded mesh networking protocol, FPS enables the orchestration of machine learning (ML) operations and ATR processes across mixed UxS swarms and integrated manned-unmanned teams. Platforms equipped with FPS can autonomously execute and exchange ML models, propagate threat cues, and collectively update their operational understanding—allowing the system to distribute tasks, dynamically adapt to emerging threats, and coordinate decision-making at the edge.

This distributed orchestration allows heterogeneous platforms to function as a coherent tactical network, with FPS acting as an orchestration layer that fuses detections, prioritises sensor tasking, and maintains synchronised targeting logic across the formation. By treating ML models and ATR outputs as shared mission assets, FPS ensures that all participating nodes—regardless of platform class—operate with the most current intelligence, enhancing responsiveness and lethality in highly dynamic environments.

Built on a containerised microservices framework and aligned with Modular Open Systems Approach (MOSA) principles, FPS is readily integrated into existing ISR, autonomy, and command-and-control (C2) frameworks. It supports dynamic model deployment, cross-domain orchestration, and modular scalability—enabling defence forces to field and evolve AI/ML capabilities in support of expeditionary and multi-domain operations. FPS is fully interoperability-ready and built to meet the operational demands of NATO and allied partners pursuing trusted, sovereign edge AI solutions.