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A Comparative Study Of High-Level And Low-Level Implementations Of Deep Learning Models For Spacecraft
Mon, 05/08/2023 - 17:41

Start Date:
2022
Programme:
Discovery
End Date:
2022
Programme Reference:
21-D-S-OPS-02-e
Country:
Canada
Contractor:
Mission Control Space Services
Status:
Closed
Description:
In this activityMission Control Space Services deployed a low-level implementation of the OPS-SAT SmartCam model using a Field Programmable Gate Array (FPGA), comparing against a high-level CPU model using Tensorflow Lite. Experiments showed that the FPGA implementation reproduced the precision and accuracy of the high-level model, while running at a slower speed. Further optimisations of the FPGA are expected to close the gap in timing and unlock new methods for deploying deep learning on spacecraft.
Application Domain:
Generic Technologies
Technology Domain:
1 - On-board Data Subsystems
9 - Mission Operation and Ground Data Systems
Competence Domain:
3-Avionic Systems
8-Ground Systems and Mission Operations
Keywords:
OPS-SAT
FPGA
SmartCam model