Funding
Funding not disclosed
Founders
Product
Problem
Eagle Vision addresses the difficulty of reliably detecting small unmanned aerial systems (UAS) in congested airspaces, where conventional radar and visual sensors struggle to differentiate drones from birds, clutter, and other airborne objects, leading to missed threats and false alarms.
Solution
Eagle Vision offers an electro‑optical/infrared (EO/IR) counter‑UAS detection platform that visualizes and analyzes the aerodynamic signatures of airborne objects. Its AI‑driven, aerodynamics‑informed algorithms model the unique flow patterns generated by drones, enabling precise discrimination from birds and environmental clutter. The system processes real‑time sensor data to produce high‑accuracy detection alerts with reduced false‑negative rates, even in complex urban environments. The platform is modular and can be tailored to specific operational requirements, allowing integration with existing security infrastructure and command‑and‑control workflows.
Target Audience
Primary customers are security and defense organizations, critical infrastructure operators, and municipal authorities that need reliable detection of unauthorized drones in dense, urban environments.
Features
- EO/IR sensor suite optimized for low‑visibility and cluttered urban airspace
- Aerodynamics‑informed AI models that extract and compare flight signature patterns
- Real‑time classification of drones versus birds and other objects with high precision
- Customizable detection parameters to match diverse operational scenarios
- Integration hooks for legacy security systems and C2 dashboards
- Scalable architecture supporting multiple sensor nodes and wide‑area coverage