On-Orbit Processing Demonstration for Small Satellite Payload

While the last decade has seen explosive growth in the number of small satellites being launched into Low Earth Orbit (LEO) for a variety of use-cases, there is a critical need to increase the degree of autonomy through use of “edge intelligence” for data processing and fusion on the collection platform itself (vs. transmitting large amounts of raw information to the ground for “after-the-fact” terrestrial analysis and action). There is particular need for sensor-agnostic, near real-time detection in a low-SWaP (size, weight and power) cross-platform product that can easily be reprogrammed and reconfigured for adaptive imaging in space and exo-atmospheric applications. NOVI proposes to address these needs by developing edge-intelligent payloads capable of processing high resolution imagery on a reconfigurable basis for adaptive detection / classification of different areas and features of interest. The proposed Phase II effort will: Aim to achieve flight and mission readiness for an on-board processing system with integrated Machine Language (ML) detection algorithms; deliver flight-ready payloads that can subsequently be integrated and launched; and conduct a detailed trade study to identify optimal options for a bus (Commercial Off The Shelf (COTS) as well as NOVI-developed), and complete the design of an integrated mission-ready spacecraft that can subsequently be procured and developed for launch and on-orbit mission demonstrations in Phase III efforts and beyond. Approved for Public Release |21-MDA-10789 (21 Apr 21)