Unibap and AWS successfully runs AWS compute and machine learning services on SpaceCloud in a first-of-its kind space experiment.
UNIBAP AND AWS SUCCESSFULLY RUNS AWS COMPUTE AND MACHINE LEARNING SERVICES ON SPACECLOUD IN A FIRST-OF-ITS KIND SPACE EXPERIMENT.
Amazon Web Services (AWS) announced on Nov 29 2022 at AWS re:Invent 2022 in Las Vegas that it successfully has ran a suite of AWS compute and machine learning (ML) software integrated on SpaceCloud on an orbiting satellite, in a first-of-its-kind space experiment. The experiment, conducted over the past 10 months in Low Earth Orbit (LEO), was designed to test a faster, more efficient method for customers to collect and analyze valuable space data directly on their orbiting satellites using the cloud.
Providing AWS edge capabilities onboard an orbiting satellite for the first time let customers automatically analyze massive volumes of raw satellite data on orbit and only downlink the most useful images for storage and further analysis, driving down cost and enabling timely decision making.
The AWS software prototype was integrated onto a space qualified SpaceCloud payload built by Unibap. On January 21, 2022, the team made its first successful contact with the payload and executed the first remote command from Earth to space. The team began running its experiments a few weeks later.
Link to Unibap and D-Orbit SCV-4 launch https://l.cdn.bequoted.com/1/a-second-successful-launch-for-spacecloud-into-space-93052/Press-release-SpaceCloud-in-space-for-the-second-time-.pdf
- We want to help customers quickly turn raw satellite data into actionable information that can be used to disseminate alerts in seconds, enable onboard federated learning for autonomous information acquisition, and increase the value of data that is downlinked. Providing users real-time access to AWS edge services and capabilities on orbit will allow them to gain more timely insights and optimize how they use their satellite and ground resources, says Dr. Fredrik Bruhn, chief evangelist in digital transformation and co-founder Unibap.
Throughout the experiment, the team applied various ML models to satellite sensor data to quickly and automatically identify specific objects both in the sky - such as clouds and wildfire smoke - and objects on Earth including buildings and ships.
Today, the joint experiment remains in space, where AWS, Unibap, and D-Orbit continue to test new capabilities beyond the original set of test objectives.
For more information, contact:
Johan Åman
+46 70 851 00 21
About Unibap
Unibap is a high-tech company that aims to automate and streamline industries on earth as well as in space. With smart solutions based on AI and robotics, we want to increase quality and productivity for our customers while eliminating dangerous tasks that today are performed manually. Unibap strives to have a positive impact on both society and the environment. The company's Quality Management System is certified according to SS-EN ISO 9001:2015. The company is listed at Nasdaq First North Growth Market.
For more information, please visit the Company's website unibap.com/en/
FNCA Sweden AB, +46 8-528 00 399, [email protected], is the Company's Certified Adviser.
