CENTENNIAL, Colo., - Liteye Systems, Inc., announces Liteye SHIELD, which incorporates Artificial Intelligence (AI) and Machine Learning techniques with a newly designed SPYGLASS 3D radar, EO and IR tracking to increase the speed and confidence of the system. The SHIELD Command and Control further ensures the full Detect, Track, ID Kill Chain is automated and conducted at machine speed. SHIELD is the next generation, cutting-edge technology required to defend against the rapid technology maturation and proliferation of small UAS threats worldwide.
“Liteye and our partners are able to present leading edge capability in advanced 3D radars, HD Cameras, and the only US company to provide both narrow band and directional wide band electronic attack for this threat” said Kenneth Allen Geyer, CEO Liteye Systems. “SHIELD operates as a self-contained system or links multiple SHIELD payloads, but more importantly, it seamlessly integrates into higher-level networks, can cue kinetic and non-kinetic effectors, and can be physically integrated into practically any platform. I’m proud of what Liteye and our teammates have achieved and confident we can continue to protect US interests around the world.”
Manufacturing and integration of SHIELD critical components are based at Liteye and partner locations in the United States. Success over the last five years with Liteye’s deployed combat proven Anti-UAS Defense System (AUDS), has earned Liteye unmatched technical experience in this market. It is this experience that has led to the development of Liteye SHIELD primarily for the C-UAS mission, but significant for additional surveillance and electronic attack missions. From first combat deployment in Iraq 2016 to today with systems deployed worldwide Liteye’s continually adding to our repertoire of experience with the rapidly evolving threat.
“Liteye has been protecting US Forces, our Allies and Critical Infrastructure for years, and we’ve listened closely to what the US DoD deems important,” said Ryan Hurt, Vice President of Business Development. “Constructing an autonomous kill chain with artificial intelligence and machine learning for detect, track and identification, so decisions can be made at machine speed, was the starting point for design of this new system. Seamless integration with existing Networks ensures Operators have access to the sensors and effectors they need, when they need them, and lessens the manpower footprint. This is next generation multi-mission, multi-domain performance.”
