Iris Automation creates Robust Collision Avoidance Systems for Industrial Drones. Their systems will allow drones to be trusted and used in place of aircraft, helicopters, and person-led inspection missions—dramatically decreasing costs and increasing safety.
Iris Automation was created in September 2015. The team came together after working in the drone space for years at Matternet, NASA, and Boeing. They saw a huge gap and opportunity in the industrial drone sector for robust systems, safety, and situational awareness.
Robust Collision Avoidance Systems for Industrial Drones
Their Robust Collision Avoidance Systems for Industrial Drones open up new ways for drones to be trusted and used. Drones can be operated autonomously and beyond-line-of-sight, for use in agricultural surveys, pipeline inspections, mining exploration, search and rescue, and more.
Saving costs and increasing safety
By using drones instead of aircraft, helicopters, person-led inspection missions, and dangerous operations, natural resource companies will decrease costs, increase safety and increase productivity by a factor of 10x in many cases.
Tracking birds (and balloons) in the sky
Iris Automation is using unique artificial intelligence and deep learning algorithms to create situational awareness for anything in the path of the autonomous vehicle.
The Iris Automation technology is both creating onboard 3D maps of its surroundings and tracking anything moving in the sky (like birds, aircraft, helicopters, balloons, etc).
Iris Innovation team
Alexander Harmsen (CEO)
Alexander holds a bachelor of Engineering Physics from the University of British Columbia. He previously worked at the NASA Jet Propulsion Lab. Alexander received his pilot license at 16.
James Howard (CTO)
James holds a bachelor of Engineering in Mechatronics from the University of British Columbia. He has previous experience at Boeing, and Spire Global. James was on the founding team of the AniRevo Conference which hosted 15,000 attendees.
Contact Iris innovation
BCTIA Innovation Hub, Vancouver
