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

• Autorzy: Zienkiewicz, Paweł , Karpińska, Katarzyna , Jamroży, Mikołaj , Juszczyk, Bartłomiej , Pochapskyi, Dmytro , Przedpełski, Tomasz , Łukasiewicz, Jerzy , Czortek, Natalia , Brona, Grzegorz
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

sCMOS camera; astronomical camera; space surveillance; space tracking; SST; FPGA; edge computing; SoC

• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2024
• Tom: Vol. 70, No. 2
• Strony: 489--494
• Opis fizyczny: Bibliogr. 7 poz., il., rys., wykr.

Twórcy

autor

Zienkiewicz, Paweł

• Creotech Instruments S.A.,

autor

Karpińska, Katarzyna

• Creotech Instruments S.A., Poland,

autor

Jamroży, Mikołaj

• Creotech Instruments S.A., Poland,

autor

Juszczyk, Bartłomiej

• Creotech Instruments S.A., Poland,

autor

Pochapskyi, Dmytro

• Creotech Instruments S.A., Poland,

autor

Przedpełski, Tomasz

• Creotech Instruments S.A., Poland

autor

Łukasiewicz, Jerzy

• Air Force Institute of Technology (ITWL), Poland,

autor

Czortek, Natalia

• Creotech Instruments S.A., Poland,

autor

Brona, Grzegorz

• Creotech Instruments S.A., Poland,

Bibliografia

• [1] Cooper, Justin & Mullan, Alan & Marsh, Aleksandra & Barszczewski, Marcin. (2019). Characterization of performance of back-illuminated SCMOS cameras versus conventional SCMOS and EMCCD cameras for microscopy applications. 50. https://doi.org/ 10.1117/12.2510614.
• [2] Zheng-Hai Zhu, Jing-Hui Zheng, Hao Luo, Guo-Ping Chen, Wei Wang, Yin-Dun Mao, Wen-Tang Wu, Kun-Peng Wang, “CMOS-based observation of Resident Space Objects using short-exposure stacking mode”, Advances in Space Research, Volume 72, Issue 6, 2023, Pages 2064-2077, ISSN 0273-1177, https://doi.org/10.1016/j.asr.2023.06.003.
• [3] Schildknecht, T. & Hinze, A & Schlatter, P & Silha, Jiri & Peltonen, Juhani & Säntti, Tero & Flohrer, Tim. (2013). “Improved Space Object Observation Techniques using CMOS Detectors.”, Proceedings of 6th European Conference on Space Debris, Darmstadt, Germany.
• [4] Qiu, Peng & Zhao, Yong & Zheng, Jie & Wang, Feng-Jian & Jiang, Xiao-Jun. (2021). “Research on performances of back-illuminated scientific CMOS for astronomical observations.”, Research in Astronomy and Astrophysics. 21. 268. https://doi.org/10.1088/1674-4527/21/10/268.
• [5] Sun, Jian & Cheng, Hao-Wen & Jiang, Hai & Liu, Jing & Zhao, Yuan-Yuan. (2022). “A 36 cm robotic optical telescope: Equipment and software.”, Frontiers in Astronomy and Space Sciences. 9. https://doi.org/10.3389/fspas.2022.897065.
• [6] Lin, Ruisheng & Clowsley, Alex & Baddeley, David & Jayasinghe, Izzy & Soeller, Christian. (2016). Single Molecule Localisation Microscopy with sCMOS Cameras. Biophysical Journal. 110. 161a-162a. https://doi.org/10.1016/j.bpj.2015.11.904.
• [7] https://www.xilinx.com/applications/industrial/analytics-machine-learning.html

Identyfikatory

DOI

10.24425/ijet.2024.149570