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The CEO of Iris Automation explains detect and avoid capability for unmanned aircraft. This technology is essential to integrating beyond visual line of sight unpiloted aircraft into the National Airspace System.

Guest

Jon Damush is the CEO of Iris Automation, which provides onboard detect and avoid technology for Beyond Visual Line of Sight drone flights.

Iris is primarily a computer vision and machine learning software company that is focused on helping unpiloted systems detect other airplanes. The company’s Casea product is a platform-agnostic 360-degree radial computer vision detect and avoid system for UAS.

Jon has over 30 years of aviation technology experience and executive leadership. He led new business ventures at Boeing NeXT, he was Chief Growth Officer at Boeing subsidiary Insitu, and he was a Boeing executive liaison and board observer to SkyGrid, a joint venture between Boeing and SparkCognition. Jon was the CEO of 2d3 Sensing, a leading provider of computer vision-based image processing software for aerial surveillance. He is also an FAA-certified commercial pilot with multi-engine and instrument ratings and he’s a certified flight instructor.

Note: This interview originally appeared in Episode 370 of the UAV Digest.