ARTIFICIAL INTELLIGENCE ELEMENT EXPLOITATION FOR THERMOGRAM ANALYSIS

1 ZIMNÝ Ondřej
Co-authors:
1 HEGER Milan 1,2 ŠPIČKA Ivo 3 Jiří Franz 1 STRÁŇAVOVÁ Mária 1 Tomáš TYKVA 1 RUSZ Stanislav
Institutions:
1 VSB - Technical University of Ostrava, Faculty of Metallurgy and Materials Engineering, Ostrava, Czech Republic, EU, ondrej.zimny@vsb.cz, milan.heger@vsb.cz, maria.stranavova.st@vsb.cz, stanislav.rusz@vsb.cz
2 University of Business and Law, Ostrava, Czech Republic, EU, ivo.spicka@vsb.cz
3 Tieto Czech s.r.o., Ostrava, Czech Republic, EU, jiri.j.franz@tieto.com
Conference:
25th Anniversary International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 25th - 27th 2016
Proceedings:
Proceedings 25th Anniversary International Conference on Metallurgy and Materials
Pages:
2106-2111
ISBN:
978-80-87294-67-3
ISSN:
2694-9296
Published:
14th December 2016
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
88 views / 34 downloads
Abstract

Thermovision technique has been more often used in a technical practice as a technological processes control and optimization tool. Thermovision outputs are thermograms that in a form of quasi-coloured imaging record temperature field of an observed surface. Thermograms find their usage not only in metallurgy, but also in electrotechnology, engineering, construction industry and other sectors. Thermograms are often retained and presented in a form of an electronical image, or are printed. The character of such a document is informational only, and real temperature values are hardly reproducible. Artificial intelligence components and image computer analysis can be exploited for thermogram temperature field information reconstruction, or other mathematical analyses can be carried out based on such acquired data optionally that can provide required information about the quality of a technological process. Thus the aim of the paper is to create the program for the analysis of thermograms, which allows detection of temperature field monitored object only from the picture supplemented by colour scale.

Keywords: artificial intelligence, metallurgy, thermovision, measurement of temperature, image recognition

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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