GS2-4 Using OpenCV for real-time image recognition through augmented reality devices

Title:	GS2-4 Using OpenCV for real-time image recognition through augmented reality devices
Publication:	ICAROB2023
Volume:	28
Pages:	868-874
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2023.GS2-4
Author(s):	Gabdullina Dinara, Zykov Evgeniy, Kugurakova Vlada
Publication Date:	February 9, 2023
Keywords:	Augmented reality, Pattern recognition, Computer vision, Optical control, Industrial automation
Abstract:	This article describes the peculiarities of writing libraries and the rapid development of augmented reality applications on the Unity platform and the OpenCV open-source library. The application of OpenCV functions to work with augmented reality objects is discussed in detail. On their basis, algorithms and methods were developed and an open library was created that implements the stable recognition of objects in various conditions by means of binding to the marker and their visualization on the augmented reality devices. On the basis of the developed library, a complete application was created to illustrate the possibility of applying virtual reality technologies for optical control of the assembly of radio electronic boards and for personnel training.
PDF File:	https://alife-robotics.co.jp/members2023/icarob/data/html/data/GS/GS2/GS2-4.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/

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