EDGE SYSTEM

BENCHMARK RESULTS AND QUICK FACTS

Machine vision model runs inferences on satellite images in ~3 milliseconds with >80% accuracy

Model is trained to recognize 50 distinct features ranging from mountains to ships to clouds etc.

Capable of processing data in bursts or continuously with a peak power draw of 15 Watts

Dimensions: 97mm x 97mm x 50mm

Mass: 1.4 kg

If more processing is required the system can scale by pipelining models across multiple processors

USE CASES

DEFENSE

DISASTER RECOVERY

AGRICULTURE

EARLY WARNING SYSTEM

OFFSHORE/REMOTE ENERGY

NATURAL RESOURCES AND MINING

INSURANCE/ASSET MONITORING

CONSTRUCTION PROGRESS

EDGE COMPUTING IN SPACE IS THE FUTURE

With the advent of 5G networks and the explosion of IoT devices and swarm satellites, traditional cloud computing networks will become inadequate and incapable of addressing the growing computational and latency requirements. While edge computing solutions are being adopted for terrestrial applications, there is no established edge computing platform available for space. The space industry currently relies on centralized cloud computing networks on the ground for data processing applications and could hugely benefit from adopting Edge computing solutions.

 

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