Artificial intelligence in space can revolutionize Earth-observation.
is challenging due to the limited number of ground stations and available bandwidth. But how could a satellite be made to choose the best and most relevant images to send home?
Amazon and its partners, Italian space start-up D-Orbit and computing technology developer Unibap, partnered to demonstrate a solution to this problem — an artificially intelligent software running directly on an orbiting satellite that can make its own decisions about which photos to transmit to Earth.
"Using Amazon Web Services software to perform real-time data analysis onboard an orbiting satellite, and delivering that analysis directly to decision makers via the cloud, is a definite shift in existing approaches to space data management," Max Peterson, AWS vice president, said in a."It also helps push the boundaries of what we believe is possible for satellite operations.
The experiment ran on D-Orbit's ION satellite, which was launched in January 2022. During the tests, the Unibap-built machine learning payload processed"large quantities of space data directly onboard" the satellite, AWS said in the statement. The system utilizes AWS machine learning models, which analyze acquired satellite imagery in real time, and the AWS IoT Greengrass cloud management and analytics system that can perform even during periods with limited connectivity.
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