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Review of Modern Technologies of Computer Vision

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Current Problems in Applied Mathematics and Computer Science and Systems (APAMCS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 702))

Abstract

Today, the use of artificial intelligence technologies is becoming more and more popular. Scientific and technological progress contributes to increasing the power of hardware, as well as obtaining effective methods for implementing methods such as machine learning, neural networks, and deep learning. This created the possibility of creating effective methods for recognizing images and video data, which is what computer vision is. At the time of 2022, a huge number of methods, technologies, and techniques for using computer vision were received, in this paper a study was conducted on the use of computer vision in 2022. Results were obtained on the decrease in the popularity of computer vision in the scientific community, its introduction into industry, medicine, zoology and human social life, the most popular method of computer vision is the ResNet neural network model.

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Acknowledgments

This work was carried out at the North Caucasus Center for Mathematical Research within agreement no. 075-02-2022-892 with the Ministry of Science and Higher Education of the Russian Federation. The reported study was funded by RFBR, Sirius University of Science and Technology, JSC Russian Railways and Educational Fund “Talent and success”, project number 20-37-51004 "Efficient intelligent data management system for edge, fog, and cloud computing with adjustable fault tolerance and security”.

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Authors and Affiliations

  1. North-Caucasus Federal University, Stavropol, Russia

    Andrey Gladkov

  2. North Caucasus Center for Mathematical Research NCFU, Stavropol, Russia

    Ekaterina Bezuglova & Georgy Valuev

  3. Sirius University of Science and Technology, Sochi, Russian Federation

    Ekaterina Bezuglova & Andrey Gladkov

Authors
  1. Ekaterina Bezuglova
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  2. Andrey Gladkov
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  3. Georgy Valuev
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Corresponding author

Correspondence to Ekaterina Bezuglova .

Editor information

Editors and Affiliations

  1. Information Systems Department, Stavropol State Agrarian University, Stavropol, Russia

    Anatoly Alikhanov

  2. Information Systems Department, Stavropol State Agrarian University, Stavropol, Russia

    Pavel Lyakhov

  3. Information Systems Department, Stavropol State Agrarian University, Stavropol, Stavropol Territory, Russia

    Irina Samoylenko

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Bezuglova, E., Gladkov, A., Valuev, G. (2023). Review of Modern Technologies of Computer Vision. In: Alikhanov, A., Lyakhov, P., Samoylenko, I. (eds) Current Problems in Applied Mathematics and Computer Science and Systems. APAMCS 2022. Lecture Notes in Networks and Systems, vol 702. Springer, Cham. https://doi.org/10.1007/978-3-031-34127-4_31

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  • DOI: https://doi.org/10.1007/978-3-031-34127-4_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34126-7

  • Online ISBN: 978-3-031-34127-4

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