Liteye Systems, Inc., a Colorado-based Counter Unmanned Aerial Systems (CUAS) manufacturer along with long-time Colorado based teammate Numerica recently worked closely with Citadel Defense, an industry-leading drone mitigation solutions provider, and together have combined technologies to provide a first -of-its-kind, world leading capability in drone defense.

Liteye’s US AUDS (Anti UAS Defense System) is a backbone for Counter UAS solutions, layered with multiple capabilities to Detect, Track, Identify and Defeat malicious threats.   Citadel’s Titan 3 technology applies artificial intelligence and machine learning to reliably detect, identify, track and defeat unauthorized drones operating across the Electromagnetic Spectrum. Together, these companies are leaders in the US Defense market with over $100M in combined sales respectively, providing the most reliable systems for Countering the growing UAS threat.

“No other system provides this level of effectiveness against both RF controlled and Silent Flight UAS,” said Ken Geyer, CEO of Liteye Systems. “We are pleased to work with Citadel’s Advancements in Machine Learning and Artificial Intelligence capabilities, the Citadel system has a combat proven pedigree similar to Liteye US AUDS.”

“By combining the technologies of both companies, our customers get access to some of the deepest and strongest capabilities in the industry,” said Chris Williams, CEO Citadel Defense. “We have coalesced our efforts for efficiency and effectiveness to get a superior suite of counter-UAS capabilities downrange.”

The combined system provides an on-the-move 360-degree defensive capability, while multiple layers of detection, classification and positive identification provide unmatched situational awareness and protection. The combination of Electronic Attack options for the operator provides both a sophisticated machine learning high fidelity frequency defeat and a robust directional broad-band defeat to ensure protection from the most serious threats.

Source: Press Release

UAV DACH: Beitrag im Original auf, mit freundlicher Genehmigung von UAS Vision automatisch importiert. Der Beitrag gibt nicht unbedingt die Meinung oder Position des UAV DACH e.V. wieder. Das Original ist in englischer Sprache.