AI and Machine Learning’s Role In Enabling Automated Emergency Safe Landings of UAS

“Our emphasis is to make UAS operations safer for both operators and the public,” emphasizes Jack Elston, Ph.D., CEO of Black Swift Technologies. “The goal of SwiftSTL™ is to be able to take a snapshot and within 60 seconds of something like a catastrophic engine failure, be able to identify a landing zone, calculate a landing trajectory, and safely land a UAS away from people and obstacles.”

We remain convinced that a thorough understanding and integration of artificial intelligence and machine learning can help serve as a catalyst for accelerating UAS growth and adoption industry-wide.