SRC brings Edge-compute capabilities to space for next-generation image processing and exploitation through SpaceWERX contract

SRC, Inc. announced it is part of a team awarded a $1.8 million Small Business Technology Transfer (STTR) contract from SpaceWERX, the innovation arm of the US Space Force. The Phase II program, led by prime contractor Circle Optics, will advance next-generation image processing and exploitation techniques that leverage optical data in power-constrained space environments and enhance space domain awareness.

This project collaboration builds upon SRC's development and demonstration of high-altitude and space-based capabilities that enable ultra-low power computing at-the-edge to greatly reduce the time from sensing to action. SRC achieves these advancements through heterogeneous compute technologies and methods, including CPU, GPU and bio-inspired neuromorphic computing hardware architectures, seamlessly pairing traditional algorithms with advanced machine learning and artificial intelligence techniques and methods.

"This award highlights SRC's ability to bring cutting-edge, power-efficient processing directly to the sensor, whether in the air, on the ground or space," said Kevin Hair, president and CEO of SRC, Inc. "As space becomes an increasingly important domain for our military, our proven expertise in high-performance embedded computing and neuromorphic processing will help ensure faster, more decisive mission outcomes in maintaining space domain dominance for our customers."

SRC is extending intelligence mission data into the space domain, using advanced algorithms for information reasoning at the edge, to ensure the warfighter is informed and equipped for modern conflicts. Building on years of experience in airborne information processing architectures, machine learning and low-power edge-compute, SRC delivers model-based intelligence into space-based systems. Paired with Agile Condor® high-performance embedded computing, these capabilities demonstrate how SRC continues to expand its edge-compute portfolio into the space domain.