UDC 338.3:004.93’1

DOI: http://doi.org/10.15350/2409-7616.2023.1.16

Shilovich O.B.¹ (Krasnodar, Russian Federation) – olegrgups@mail.ru, Gulyai V.G.¹ (Krasnodar, Russian Federation) – ms.gulyay@bk.ru, Markov A.I.¹ (Krasnodar, Russian Federation) – sashasashamarkov2016markov@gmail.com, Shapovalov D.A.¹ (Krasnodar, Russian Federation) – Shapovalov.demid02@mail.ru

¹Kuban State Technological University

Abstract. The algorithm of a computer look at the basis of machine learning in recent years has become increasingly popular in various economic options to improve the quality of the product produced. In this article, the authors consider the problems of the modern industry associated with an increase in production volumes and the replacement of imported goods with domestic ones, as well as ways to solve them by introducing intelligent self-learning artificial intelligence systems based on computer vision algorithms using machine learning. The accuracy of video information analysis by a computer is growing all the time and the use of computer vision can provide great cost savings along with improved quality. Computer vision is one of the important components of technologies for artificial intelligence. The article presents statistical data characterizing the dynamics of the development of production activities and the scale of import substitution in certain industries in our country. The article also describes the differences between computer vision, machine vision, video analytics and the importance of implementing such algorithms in modern production control systems. An example and algorithm of a unique intelligent production quality control system is given, capable of providing measurement accuracy of the order of 97-98% with a calculation error of no more than 3%. For comparison, with the manual method, the measurement accuracy is 85-95%, and with the use of expensive laser mechanisms – 90-95%. This experience shows the necessity and relevance of the development of such a project, in all economic areas of our country, to improve the quality and control of the goods produced, as well as to optimize the work in production.

Keywords: manufacturing, computer vision, machine learning, video analytics.

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For citation: Shilovich O.B., Gulyai V.G., Markov A.I., Shapovalov D.A. To the question of improving the quality of product analysis by application of computer vision algorithms. CITISE, 2023, no. 1, pp. 191-201. DOI: http://doi.org/10.15350/2409-7616.2023.1.16