San Francisco  -  Iris Automation Inc. has announced the set launch of artificial intelligence based detect-and-avoid system for UAVs. This is intended to help UAVs to be able to 'see' beyond their visual line of sight (BVLOS). Casia is going to be the first commercially available computer vision detect-and-avoid system that is going to make it possible for autonomous vehicles to be able to 'see' Beyond Visual Line of Sight (BVLOS) according to a press release statement from the Irish Automation Inc.

The company reported that for the first time they have developed a system that allows an Unarmed Aircraft System (UAS) to effectively understand the aviation environment around it as if a pilot were on board. The system dubbed 'Casia' is said to be able to easily detect other aircraft and uses machine learning to classify them and then makes intelligent decisions about any possible threat it may pose to the other aerial vehicle. It then triggers automated moves to avoid possible collisions.

Basically, Casia combines both hardware and software all of which are ultra-lightweight, have low power and small in overall size. The whole unit comprises high-tech artificial intelligence algorithms as we as software packaged in an all-in-one supercomputer that works in unison with a machine vision camera.

The Iris Automation CEO Alexander Harmsen said, "Casia is the critical piece our industry has been dreaming about for years. It is finally allowing us to use drones to their full commercial potential." He went to say, "By unlocking BVLOS flight with Casia, operators all over the world will be able to use their aircraft in every conceivable scenario."

Iris Automation reports that the Casia technology has thoroughly been tested with up to 7000+ real-world test flights and mid-air collision scenarios involving flights of various manned aircraft against UAS, and over 40,000 encounters in simulation. You can get more information from the Iris Automation Inc. here.

This latest development involving the use of artificial intelligence technology on UASs to avoid possible collisions with other aircraft goes a long way to prove the bright future of artificial intelligence use in other areas. We have seen a recent application of artificial intelligence technology in areas of health and banking. Indeed the technology is slowly but steadily taking the world of innovation by storm. If Casia proves to be highly effective like its innovators are claiming then we should expect to see an even safer aviation industry in the next few coming years.