Fortem Technologies has announced the release of DroneHunter, a military-tested unmanned aerial system (UAS) that provides perimeter intrusion detection and protection by autonomously patrolling an airspace and towing away any rogue drones from the sky. Using AI algorithms, the DroneHunter system provides detection, monitoring and capture of rogue drones over restricted airspace or no-fly zones. Once a rogue drone is detected and captured, DroneHunter can tether and return, or safely discard to a predefined safe zone.
“Drones are accessible to everyone now and are beginning to proliferate to enable many new services,” said CEO of Fortem Technologies, Timothy Bean. “However, to fully embrace these benefits, we must monitor the airspace and secure no-fly zones. Fortem’s safe, low-cost detection and mitigation systems like DroneHunter are game-changing, enabling the benefits of a drone world to be realized.”
Equipped with Fortem TrueView radar, DroneHunter includes an autonomous guidance system and an open command and control platform to detect, identify and tow away hostile drones within a secured geo-fenced perimeter. DroneHunter notifies authorized personnel of potential aerial threats in real time. The command center ground station provides monitoring and manual intervention override options to meet situational requirements.
DroneHunter is an unmanned aerial vehicle (UAV) that operates autonomously and provides an onboard autopilot and navigation system, and optional 4K camera for real-time video. DroneHunter operates on multiple UAV platforms. The most popular models are light (under 16 lbs.), compact and easy to transport.
The Fortem Netgun effectively captures its target and can be configured for single or multiple shots. For higher speed targets, the Fortem Drape Net autonomously blocks fast-moving drones before they reach restricted areas or no fly zones.
Fortem TrueView Radar is at the heart of DroneHunter, and provides advanced detection, classification and monitoring, day and night and in all ground and weather conditions including smoke, clouds, fog and smog.
The post New Counter-UAS Drone Uses AI-Enabled Radar Technology appeared first on Unmanned Systems Technology.