Comparative analysis of computing platforms for onboard micromodule of provisional image recognition
Abstract
This paper is devoted to the analysis of basic hardware and software of recent cheap and commercially available computing microplatforms for selecting an appropriate solution for development of an onboard micromodule for preliminary recognition and selection of images of underlying surface of given types. It is assumed that the corresponding versions of the micromodule can be installed on board of small spacecraft or light unmanned aerial vehicles (drones). In this paper we consider a variant of a micromodule for drones. When choosing a microplatform, the main limitations were its low weight (no more than 300 g, including camera and interface equipment) and its relatively high performance (time for frame processing of a color image 320×240 pixels is no more than 300 ms). Another important limitation was the low price and commercial availability of microplatform on the Belarusian market. The information provided in this paper could be useful for engineers and researchers who are developing compact budget mobile systems for processing, analyzing and recognition of images.
About the Authors
V. A. KovalevBelarus
Vassili A. Kovalev – Ph. D. (Engineering), Head of the laboratory of Biomedical Images Analysis.
6, Surganova Str., 220012, Minsk
D. A. Paulenka
Belarus
Dzmitry A. Paulenka – Software Engineer.
6, Surganova Str., 220012, Minsk
E. V. Snezhko
Belarus
Ph. D. (Engineering), Leading Researcher.
6, Surganova Str., 220012, Minsk
V. A. Liauchuk
Belarus
Researcher.
6, Surganova Str., 220012, Minsk
A. A. Kalinovski
Belarus
Researcher.
6, Surganova Str., 220012, Minsk
References
1. Sammut-Bonnici T., Galea D. SWOT analysis. Wiley Encyclopedia of Management, vol. 12 : Strategic Management, Wiley Online Library, 2014, pp. 1–8. doi: 10.1002/9781118785317.weom120103
2. Salas A. G., Attai W., Oyadomari K. Y., Priscal C., Schimmin R. S., Gazulla O. T., Wolfe J. L. PhoneSat in-flight experience results. Proceedings of the Small Satellites and Services Symposium. Porto Petro, Majorca, 2014, 19 р. Available at: https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20140008616.pdf (accessed 04.06.2018).
3. Dashevskij V. P., Bizin M. M. Obzor vozmozhnostej bortovyh vychislitelej na osnove SMARC-modulej dlja robototehnicheskih kompleksov [Overview of the capabilities of on-board calculators based on SMARC-modules for robotic complexes]. Doklady Tomskogo gosudarstvennogo universiteta sistem upravlenija i radiojelektroniki [Reports of Tomsk State University of Control Systems and Radioelectronics]. Tomsk, 2015, pp. 91–97 (in Russian).
4. Intel® Compute Stick STK1AW32SC STK1A32SC. Technical Product Specification. Intel Corporation, 2015. Available at: https://www.intel.com/content/dam/support/us/en/documents/boardsandkits/computestick/STK1AW32SC_STK1A32SC_TechProdSpec.pdf (accessed 04.06.2018).
5. Raspberry Pi Comparison Chart. ModMyPi LTD, 2017. Available at: https://www.modmypi.com/download/raspberry-pi-comparison-chart.pdf (accessed 04.06.2018).
6. Raspberry Pi Documentation. Raspberry Pi Foundation with community contributions, 2012–2018. Available at: https://www.raspberrypi.org/documentation (accessed 04.06.2018).
7. Mi Phone User Guide. Xiaomi Communications Co., Ltd., 2016, 37 p. Available at: http://files.xiaomimi.com/files/Mi_Phone_User_Guide/Mi_Phone_User_Guide_eng.pdf (accessed 04.06.2018).
8. Linuxium. Ubuntu flavoured 16.04 ISOs for Atom based Intel Compute Sticks. Customizing Ubuntu ISOs: Documentation and examples of how to use 'isorespin. sh', 2016. Available at: https://linuxiumcomau.blogspot.com.by/2016/05/ubuntu-flavoured-1604-isos-for-atom.html (accessed 04.06.2018).
9. Harrington W. Learning Raspbian. Packt Publishing Ltd., 2015, 154 p.
10. Kovalev V., Volmer S. Color co-occurrence descriptors for querying-by-example. International Conference on Multimedia Modeling. Lausanne, Switzerland, 1998, pp. 32–38.
Review
For citations:
Kovalev V.A., Paulenka D.A., Snezhko E.V., Liauchuk V.A., Kalinovski A.A. Comparative analysis of computing platforms for onboard micromodule of provisional image recognition. Informatics. 2018;15(3):7-21. (In Russ.)