Iris Automation announces collision-avoidance solution for the commercial drone industry
SAN FRANCISCO, Calif., - Iris Automation, an artificial intelligence and safety avionics company, recently announced the launch of Casia – its computer vision detect-and-avoid solution to enable Beyond Visual Line of Sight (BVLOS) operations for autonomous vehicles. Casia detects other aircraft, uses machine learning to classify them, makes intelligent decisions about the threat they may pose to the vehicle, and triggers automated maneuvers to avoid collisions.
Casia is a combination of both hardware and software that's lightweight, low power and small in size. It comprises artificial intelligence algorithms and software packaged in a self-contained computer that works with a machine vision camera.
"Casia is the critical piece our industry has been dreaming about for years – finally allowing us to use drones to their full commercial potential," said Iris Automation CEO Alexander Harmsen. "By unlocking BVLOS flight with Casia, operators all over the world will be able to use their aircraft in every conceivable scenario."
The Casia technology has been extensively tested, with more than 7,000 real-world test flights and mid-air collision scenarios – flying various manned aircraft against UAS – and over 40,000 encounters in simulation. Casia also ran a successful early adopter program with more than 30 participating beta customers from five countries.
With the Casia launch, Iris Automation will also offer customers regulatory support for Part 107 waiver writing and regulatory approval processes to secure the necessary permissions for their unique UAS operations. Casia is available now. For more information, visit www.irisonboard.com/casia.
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