The use of FeatherEdge AI will allow Sidus to detect unregistered vessels contributing to illegal fishing, track natural disasters such as floods or wildfires in real-time, and provide early warnings for events including oil spills or methane leaks. The edge AI platform processes raw data directly from sensors and sends down only the relevant information, reducing downlink costs and improving response times to observable events.
The combination of a rapid revisit rate satellite constellation and onboard high-performance edge AI computing is expected to enable Sidus to offer industry-leading data transmission speed. The integration of edge AI capabilities also allows ground operators to send updated tasking commands, mission objectives (such as regions of interest), and AI models (corresponding to emerging events), enabling the delivery of intelligence that can be adapted to evolving challenges.
"By integrating edge AI into our Sidus fleet of satellites, we expect to be able to provide government and commercial customers with near-real-time intelligence," said Carol Craig, Founder and CEO of Sidus Space. The integration of edge AI capabilities will allow the constellation to learn to prioritize the retrieval of useful intelligence so that efficient, actionable insights can be delivered for critical data-driven decisions.
"FeatherEdge executes novel machine vision algorithms to detect and classify objects and structures within the field of view of on-board imaging systems. FeatherEdge processes raw data directly from sensors and sends down only the relevant information, reducing downlink costs and improving response times to observable events," said Jeremy Allam, Co-founder, and CEO of Exo-Space.
Editor's note: This report was written with AI assistance using the prompt "RULE Shakespeare" developed inhouse at SpaceDaily.com.
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