Unmanned Systems Technology 017 | AAC HAMR UAV | Autopilots | Airborne surveillance | Primoco 500 two-stroke | Faro ScanBot UGV | Transponders | Intergeo, CUAV Expo and CUAV Show reports

runs on a background IP, eliminating the need for a full four-channel satellite system. A single-channel system is sufficient for running operations such as a live HD video steam over a 200 kbit/s link. “With the Cobham 200, we can provide satellite BVLOS links to UAVs flying anywhere in the world, apart from the North and South poles,” Hawkeswood added. “And because we use Inmarsat’s global satellite network, operations would be licensed for all over the world.” Molfar Technologies exhibited its machine learning techniques for UAV payloads, which are primarily (though not exclusively) aimed at autonomous object recognition and navigation in GPS- denied environments. The company’s approach centres on enabling machine learning on low- spec, COTS-grade hardware, crunching data inputs for navigation, recognising obstacles, and detecting and classifying objects of interest.    Training a system to recognise new objects can be done in the field by users, without having to pre-train the system on hundreds of thousands of data points before installing it on a UAV. Viktor Lysyuk said, “By keeping Molfar offers machine learning for UAV payloads Unmanned Aircraft Filter Elements Swift Filters have been manufacturing filter elements for unmanned aircraft for the US Department of Defense for over 10 years and have been certified as an approved DOD source for over 40 years. We make filter elements for fuel and lubricant systems for all manner of UAVs. For more information please contact us at: Swift Filters, Inc. 24040 Forbes Road, Oakwood Village, Cleveland, Ohio 44146, USA 001 440 735 0995 | [email protected] | www.swiftfilters.com