Iris Automation announces turnkey collision-avoidance solution for commercial drones
Iris Automation, an artificial intelligence and safety avionics company, announced the launch of Casia—a commercially available computer vision detect-and-avoid solution designed to enable beyond visual line of sight (BVLOS) operations for autonomous vehicles.
According to the company, the system allows an unmanned aircraft system (UAS) to understand the aviation environment around it as if a pilot were on board. 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 is lightweight, low power, and small in size. It comprises artificial intelligence algorithms and software packaged in a self-contained supercomputer 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 more than 7000 real-world test flights and mid-air collision scenarios—flying various manned aircraft against UAS—and more than 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 says it will also offer customers regulatory support for Part 107 waiver writing and regulatory approval processes to secure the necessary permissions for their UAS operations.