Citadel Releases AI Software for TITAN CUAS
Citadel Defense has released a new artificial intelligence and machine learning software for Titan counter-unmanned aircraft systems deployed across 13 countries.
The company said its AI and machine learning software has improved over 27 months of successful deployments across multiple combatant commands and hundreds of unique environments.
“Library-limited counter-drone systems that are overly complex put important missions at risk along with our servicemen and women. Titan’s use of AI, machine learning, and automated robotics significantly reduces operator stress while accelerating response time,” said Citadel CEO Christopher Williams.
Citadel's counter-drone technology has been extensively validated by the Department of Defense and the Department Homeland Security. The Air Force has also tapped the company to protect warfighters and high-value assets from drone threats.
Gen. Kenneth McKenzie, commander of U.S. Central Command, has raised concerns about the evolving threat posed by unmanned aircraft systems. The general previously said there was a lack of dependable capabilities to counter CUAS in the CENTCOM region.
The Titan serves as a platform that can easily integrate with new sensors owing to its open architecture, allowing the technology to be tailored for different scenarios, Citadel said.
Citadel said its radio-frequency sensors enable the best AI and machine learning detection performance in integrated layered CUAS solutions
“By substantially reducing system complexity, providing an industry-leading low false alarm rate, and delivering the most expansive detection and mitigation threat coverage, Citadel’s customers can focus on their missions without unnecessary and potentially life-threatening distractions,” Williams added.
Citadel is a supplier of automated drone mitigation solutions for military, homeland security and commercial applications. Its customers include the Special Forces, Army, Navy, Air Force, DHS, Border Patrol and Coast Guard.
Category: Future Trends
Tags: AI Air Force artificial intelligence CENTCOM Christopher Williams Citadel Defense Combatant Command CUAS Department of Defense Department of Homeland Security drone mitigation Future Trends Kenneth McKenzie machine learning sensors Titan U.S. Central Command