TEL AVIV — AI defense software developer Axon Vision has successfully conducted a live-fire evaluation of its ForceField Counter-Unmanned Aircraft System (C-UAS) in Israel for representatives of an unnamed leading U.S. defense contractor. Executed under operationally representative combat conditions, the demonstration validated ForceField’s ability to autonomously detect, classify, track, and kinetically engage high-speed First-Person View (FPV) attack drones and loitering munitions.
The ForceField architecture is engineered specifically to address the tactical vulnerabilities exposed by fiber-optic-guided and EW-resistant FPV drones, which bypass traditional RF jamming countermeasures. Powered by Axon Vision’s Edge AI perception engine, the platform integrates passive day/night electro-optical/infrared (EO/IR) sensors with automated threat prioritization algorithms. Once a threat vector is established, ForceField directly drives Remote Weapon Stations (RWS) or kinetic effectors to execute pinpoint interceptions while keeping the human operator in the loop for firing engagement authority.
TECHNICAL SPECIFICATIONS: AXON VISION FORCEFIELD AI C-UAS ARCHITECTURE
* System Classification: AI-Enabled Edge Perception & Kinetic Counter-UAS (C-UAS) Suite
* Prime Developer: Axon Vision (Tel Aviv, Israel)
* Operational Target Spectrum: FPV strike drones (RF & fiber-optic linked), loitering munitions, and low-RCS micro/mini-UAVs
* Core Operational Cycle: “Detect, Understand, Respond” (End-to-End single-system kill chain)
* Sensing & Perception Architecture:
* Sensor Suite: Passive day/thermal (EO/IR) camera arrays providing 360-degree situational awareness without RF emissions
* Detection Range: Up to 4.3 km (~2.7 miles) against low-altitude aerial threats
* AI Processing Engine: Edge AI neural network processor running low-latency automated threat classification, target tracking, and high-g trajectory prediction
* EW-Resilient Engagement Capabilities:
* Non-RF Dependent: Operates autonomously without continuous communications or reliance on external radar/RF sensors
* Fiber-Optic FPV Countermeasure: Designed explicitly to engage non-emitting, tethered/fiber-optic strike drones immune to electronic jamming
* Effector & Platform Integration:
* Kinetic Integration: Platform-agnostic software architecture designed to interface with existing military Remote Weapon Stations (RWS) and standard gun/ammunition configurations
* Operator Control: Semi-autonomous target lock with mandatory Human-In-The-Loop (HITL) kinetic engagement verification
* Physical & Deployment Footprint: Platform-agnostic integration for main battle tanks (MBTs), armored personnel carriers (APCs), tactical wheeled vehicles, and fixed-site installations
