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6 Mission-critical info for UST professionals Platform one Iris Automation is developing a collision avoidance system based around low- cost smartphone cameras and machine learning image recognition algorithms (writes Nick Flaherty). With $8m of backing, the company is developing an embedded computing platform that will allow the detection of a moving object such as a Cessna light aircraft at a range of up to 500 m (1500 ft). Once detected, the proprietary algorithms will be able to identify the object and direct the UAV away from a collision trajectory. The system weighs less than 300 g and has the footprint of a credit card. Simply by using a low-cost camera sensor rather than radar or Lidar significantly reduces its cost and weight. For testing, the company has developed a range of 3D simulation environments. The system is currently undergoing evaluation in several regions of the world, and early adopters of the technology are being accepted through the first three months of 2018. Airborne vehicles Smart move on avoidance The smartphone camera-based collision avoidance system is said to be light, small and low-cost February/March 2018 | Unmanned Systems Technology