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
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