A novel edge computing approach to astronomical image data processing based on sCMOS camera using SoC.

Authors

  • Paweł Zienkiewicz Creotech Instruments S.A.
  • Katarzyna Karpińska Creotech Instruments S.A.
  • Mikołaj Jamroży Creotech Instruments S.A.
  • Bartłomiej Juszczyk Creotech Instruments S.A.
  • Dmytro Pochapskyi Creotech Instruments S.A.
  • Jerzy Łukasiewicz Air Force Institute of Technology (ITWL) http://orcid.org/0000-0002-5997-8754
  • Natalia Czortek Creotech Instruments S.A.
  • Grzegorz Brona Creotech Instruments S.A.

Abstract

The ever-growing deluge of astronomical data challenges traditional server-based processing, hindering real-time analysis and scientific discovery. This paper proposes a novel approach: edge computing directly on an sCMOS camera using a System-on-Chip (SoC) architecture currently developed at Creotech Instruments. We present a custom-designed camera equipped with an FPGA-based SoC, enabling on-board pre-processing and feature extraction of astronomical images. This significantly reduces data transmission, minimizes latency, and empowers real-time decision-making for critical observations. We showcase the camera's capabilities through real-world scenarios, demonstrating its usability in astronomy. 

References

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https://www.xilinx.com/applications/industrial/analytics-machine-learning.html

Additional Files

Published

2024-06-20

Issue

Section

Space technologies, Astronomy