Honeywell counter-UAV swarm drone system unveiled

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HONEYWELL has officially launched its new Stationary And Mobile UAS Reveal And Intercept system to counter swarms of unmanned aerial systems (UAS).

The system incorporates cutting-edge radars, radio frequency defeat capabilities, and detectors driven by artificial intelligence (AI) for better threat monitoring.By combining beyond-visual-line-of-sight communication with command-and-control capabilities, the multi-layered system is able to detect, track and then counter drone swarms. It can also be equipped on vehicles or fixed-based platforms to protect high-value assets.

Honeywell Aerospace Technologies Defense and Space president Matt Milas said, “modern warfare is rapidly changing and the threat swarm drones pose to high-value assets can have a devastating effect on military operations. Our Stationary And Mobile UAS Reveal And Intercept system is a highly reliable, scalable and fully integrated defensive system that has been developed after extensive research and testing with the needs of military operators in mind. This system’s multi-layered defensive capabilities set it apart in the industry and enable it to not only track and detect, but also defeat multiple threats. We’re excited to demonstrate this technology for the Air Force and are confident the system can provide critical new capabilities on the battlefield.”

The system has been developed by integrating components from defence manufacturers such as Blue Halo, Leonardo DRS, Pierce Aerospace, Silent Sentinel, Walaris, Rocky Research and Versatol. These components include radio frequency detection with sensor technology that uses light to detect, track and identify objects as well as offensive drones to counter swarms.

The US Air Force Global Strike team via STRIKEWERX/AFWERX recently selected Honeywell’s Stationary And Mobile UAS Reveal And Intercept system to demonstrate the protection of high-value assets from swarm drones while on the move. The demonstration will take place in January 2025.-honeywell/adj/dl (Pix:Honeywell)