K
Kathleen Martin
Guest
A collaboration between Easy Aerial, Verizon, and Amazon Web Services (AWS) has demonstrated the use of Verizon 5G Edge and AWS Wavelength to enable near-real-time object detection for drones. The Easy Guard ground station, one of Easy Aerial’s product offerings, is described by the company as a “smart” aircraft hangar for takeoff, landing, and charging, and this “drone-in-a-box” solution was selected for exploring 5G integration. Easy Aerial first considered integrating 5G into the Easy Guard at Verizon and Newlab’s Brooklyn, New York-based 5G Studio, which was created to develop a wide range of potential technology solutions.
Through this collaboration, with the 5G-enabled Easy Guard system, successful transmission of telemetry data from Easy Aerial drones was achieved, which made it possible to monitor flights in near-real-time. They were also able to reduce the data transmission rates of the drones by leveraging 5G for communications and reduce latency via use of 5G and mobile edge compute (MEC) on "AI-powered data processing," Verizon notes in a description of the collaboration with Easy Aerial and AWS.
According to the collaboration announcement from Verizon, the integration of 5G and mobile edge computing for drone operations resulted in savings of about 10% in drone costs and flight time that was increased by about 40%.
Ivan Stamatovski, CTO of Easy Aerial, explained that a demonstration like this has not been attempted before, in part because of a lack of actual 5G coverage in the U.S.; however, Easy Aerial is optimally positioned to utilize both AWS and Verizon’s 5G Edge. Integrating 5G, according to Stamatovski, “opens up a lot of avenues for using small unmanned aircraft systems [sUAS] for all kinds of applications,” he told Avionics International. The team at Easy Aerial had developed the Easy Guard ground station and, after joining the 5G studio, began working on possible applications for 5G within the Easy Guard system.
Stamatovski explained that “typically, we would have our AI for people recognition and car detection, and we would run it on a local computer, but we said, ‘Since there’s limited space and limited power for it, let’s see if we can put that all on Amazon Edge.’” It was also important to have low latency for object detection so that processing would happen in real-time or near real-time. “We decided to go with Amazon Edge,” he said, “because the cloud is too far out there. The whole setup was made so that the drone talks to Amazon directly, and Amazon does the processing and AI with our algorithms that were deployed on the Edge. Then it communicates back to another 5G unit that is inside our Easy Guard.”
Continue reading: https://www.aviationtoday.com/2022/02/14/verizon-5g-enables-near-real-time-object-detection-for-drones/
Through this collaboration, with the 5G-enabled Easy Guard system, successful transmission of telemetry data from Easy Aerial drones was achieved, which made it possible to monitor flights in near-real-time. They were also able to reduce the data transmission rates of the drones by leveraging 5G for communications and reduce latency via use of 5G and mobile edge compute (MEC) on "AI-powered data processing," Verizon notes in a description of the collaboration with Easy Aerial and AWS.
According to the collaboration announcement from Verizon, the integration of 5G and mobile edge computing for drone operations resulted in savings of about 10% in drone costs and flight time that was increased by about 40%.
Ivan Stamatovski, CTO of Easy Aerial, explained that a demonstration like this has not been attempted before, in part because of a lack of actual 5G coverage in the U.S.; however, Easy Aerial is optimally positioned to utilize both AWS and Verizon’s 5G Edge. Integrating 5G, according to Stamatovski, “opens up a lot of avenues for using small unmanned aircraft systems [sUAS] for all kinds of applications,” he told Avionics International. The team at Easy Aerial had developed the Easy Guard ground station and, after joining the 5G studio, began working on possible applications for 5G within the Easy Guard system.
Stamatovski explained that “typically, we would have our AI for people recognition and car detection, and we would run it on a local computer, but we said, ‘Since there’s limited space and limited power for it, let’s see if we can put that all on Amazon Edge.’” It was also important to have low latency for object detection so that processing would happen in real-time or near real-time. “We decided to go with Amazon Edge,” he said, “because the cloud is too far out there. The whole setup was made so that the drone talks to Amazon directly, and Amazon does the processing and AI with our algorithms that were deployed on the Edge. Then it communicates back to another 5G unit that is inside our Easy Guard.”
Continue reading: https://www.aviationtoday.com/2022/02/14/verizon-5g-enables-near-real-time-object-detection-for-drones/
