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Frontline Perception System
Modular AI/ML for Tactical ISR at the Edge
FPS enables on-platform AI/ML to autonomously detect, classify, and track targets without cloud
Interoperable and Platform-Agnostic Architecture
FPS runs on heterogeneous edge compute hardware supporting rapid integration across UxS platforms
Sensor Fusion and Cueing Across Modalities
FPS ingests multimodality data to produce fused threat cues, automatically steering sensors
Resilient Mesh Networking for Disconnected Operations
FPS includes self-forming, self-healing mesh protocol that enables model propagation, alert sharing
The Frontline Perception System (FPS) is a modular, edge-optimised AI/ML software platform that enables real-time target recognition, sensor fusion, and autonomous cueing across multi-domain environments. Designed for contested and disconnected operations, FPS operates on low-SWaP platforms and integrates seamlessly with existing ISR, UxS, and command-and-control architectures.
System Type :
AI-powered tactical ISR & targeting software for ATR, autonomy, & edge-deployable decision support
Primary Function :
Performs real-time ATR, sensor cueing, and ML ops/data orchestration at the tactical edge
Modularity & Deployment :
Containerised microservices architecture; deployable on edge compute & GVA-compatible hardware
Compute Compatibility :
Supports deployment across a wide range of embedded processors, single-board computers, et al
Power Requirements :
Optimised for low-SWaP UxS nodes and expeditionary compute configurations
Networking & Communications :
Supports Layer 2/3 mesh networking; includes FPS-native protocol for decentralised P2P ML sync
Security & Accreditation :
Aligned with industry standards; supports air-gapped deployment and role-based access control
All ML Model Formats Supported :
Optimally compiled for deployment on all edge hardware using vendor-specific runtimes
Sensor Cueing Capability :
Autonomously directs sensor payloads; supports PTZ control and CV model-based interrogation
Integration :
Rapidly adaptable for seamless integration into all C2, exploitation, and targeting architectures
People
Description
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.
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.
