Author: neusos

Are you ready for the new FAA regulations? The FAA has released a document outlining compliance measures for the Remote ID Rule (aka Part 89). The rule calls for all drones to be equipped with new remote ID recognition and tracking technology to further integrate UAVs into the National Airspace System (NAS). After September 16, 2023, all pilots who are required to register a UAS will follow new rules mandating that their drones either have a native remote ID or be equipped with a remote ID broadcast module like a portable transmitter. is needed. The FAA’s website states that if…

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Future drones may be controlled by the body movements of the pilot. XTEND Partners with ModalAI to Drive Human-Machine Collaboration Continue reading below or listen: DRONELIFE Staff Writer Ian M. Crosby Today, human-driven autonomous operating system developers are: Expand Announced multi-layer partnership with leading Blue UAS Framework drone manufacturer Modal AI Co., Ltd. Pursuant to the partnership, XTEND will XOS operating system is available with ModalAI’s technology, while XTEND’s human-guided autonomous drone will incorporate ModalAI’s technology. VOXL®2 Autonomous AI autopilot. XTEND’s Operating System (XOS) provides an easy-to-deploy operating system for drones and robots, allowing any connected device to benefit from…

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Detection and avoidance (DAA) technology is essential for advanced drone operations and beyond visual line of sight (BVLOS). A project is currently demonstrating the use of computer vision DAA technology to detect other drones and aircraft in safe airspace. Continue reading below or listen: Cambridge Pixel VSD Used in Police Assistance Project Testing Vision-Based Detection and Avoidance for BVLOS Manipulation and Airborne Object Classification DRONELIFE Staff Writer Ian M. Crosby Sensor processing and display solution developer Cambridge Pixel had participated in a consortium with Vizgard and Gibson Robotics We plan to combine the capabilities of each company for a final…

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DeDrone’s latest version of Tracker.AI classifies “any flying object in 3D airspace” DRONELIFE Staff Writer Ian J. McNabb Based in Sterling, Virginia Dedrone We recently announced a new DeDroneTracker.AI version. 6.0 is an autonomous threat detection/classification command and control system powered by machine learning that enables customers to effectively manage and eliminate drone-based threats. DeDrone’s technology utilizes a multi-sensor array of radio frequency (RF), radar, video, and acoustics to effectively identify and neutralize unfriendly UAVs through continuous interrogation, as well as track them. and enable the continued safe operation of friendly drones. “This latest version of our AI platform significantly…

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