Mariya G. Yemelyanova

Dissertation topic

The intelligent system for visual inspection of industrial products quality

Domestic scientific consultant

Olga E. Baklanova, Candidate of Physico-Mathematical Sciences, associate professor HAC, professor of the D. Serikbayev EKSTU.

h-index – 3. Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=55543022800. https://orcid.org/0000-0001-8734-2596.

Foreign scientific consultant

György Györök, Dr. habil, PhD György Györök. Dean of Alba Regia Technical Faculty, Óbuda University, Székesfehérvár, Hungary.

h-index – 9. Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=15519134600. https://orcid.org/0000-0003-3668-7855.

Main scientific results

An analytical review of scientific research, approaches and methods aimed at solving problems of automatic detection and recognition of welding defects has been carried out.

An algorithm for automatic detection of surface welding defects in the production process has been developed and implemented.

The research of methods for solving the problem of multiclass classification of welding defects has been carried out.

Direct result

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Scientific works

1. Yemelyanova M., Baklanova O. Automated visual inspection in the endoprosthesis production. CITech-2018, «Vestnik of D. Serikbayeva EKSTU», «Vichislitelnie tehnologii». Vol. 1. Part 3. D. Serikbayev East Kazakhstan State technical university, Ust-Kamenogorsk – ICT SB RAS Novosibirsk, 2018. – pp. 70-77, ISSN 1561-4212, ISSN 1560-7534. /files/vestnik/tech03_2018.pdf.

2. Yemelyanova M., Baklanova O. Research binarization methods for solving the problem of automatic detection of welding defects.  «Vestnik of D. Serikbayeva EKTU» №3, 2020, pp. 86-90, ISBN 1561-4212. /files/vestnik/Vestnik_3-2020.pdf.

The Hirsch index

 

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Funded research projects

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Level of foreign language proficiency

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