INFORMATION TECHNOLOGIES FOR CONTENT MANAGEMENT OF HOLOGRAPHIC 3D WINDOWS

Author:

Roskladka Andrii1ORCID

Affiliation:

1. State University of Trade and Economics

Abstract

The article describes the main methods and means of managing a holographic 3D showcase. Despite the variety of devices on the market, developers prefer an intuitive interface and adaptability to control methods. The main advantage of the adaptive approach to control is the possibility of controlling devices and objects using tools that can interact with the control object (smartphone, tablet, remote control). It should be noted that regardless of the possibility of device communication, everything depends on the object that is controlled. Depending on the content displayed on the device (depending on the plane where the object is located and the functionality provided to the control object), you need to choose the most optimal methods and tools that will help you perform all the planned actions. Today, one of the most difficult challenges is the development of an information system and technologies for managing innovative devices, which are holographic 3D showcases. The control device should be selected and optimized for the device, which will help to obtain the maximum result without losing intuition. To work with the device, it is most appropriate to use devices that have the ability to expand functionality and control objects from a distance. The distance from the device can be measured not only in meters, but also in rooms or cities, which requires remote control applications. This approach will make it possible to maximize the potential of holographic 3D showcases and make presentations without the physical presence of the operator. Modern information technologies make it possible to control computer models using web-systems remotely, as well as using gestures, using motion recognition using neural networks, being directly near the device.

Publisher

Borys Grinchenko Kyiv University

Subject

General Medicine

Reference14 articles.

1. Khorolska, K. . (2022). ANALYSIS OF THE MAIN METHODS OF DRAWINGS RECOGNITION AND THE POSSIBILITIES OF TRANSFORMATION 2D IN 3D. Electronic Professional Scientific Edition «Cybersecurity: Education, Science, Technique», 4(16), 185–193. https://doi.org/10.28925/2663-4023.2022.16.185193

2. Khorolska, K. (2022). THE POTENTIAL OF VARIOUS ARTIFICIAL INTELLIGENCE METHODS APPLICATION IN THE PROBLEM OF DRAWING RECOGNITION AND 2D 3D TRANSFORMATION. Electronic Professional Scientific Edition «Cybersecurity: Education, Science, Technique», 1(17), 21–30. https://doi.org/10.28925/2663-4023.2022.17.2130

3. Boyko, N. I. Principles of formal modeling of information systems based on web technologies. Bulletin of the Lviv Polytechnic National University. – 2012. – No. 745: Computer systems and networks. - P. 14-19. https://science.lpnu.ua/csn/all-volumes-and-issues/number-745-2012/principi-formalnogo-modelyuvannya-informaciynih-sistem-na

4. Senin Yu. CONVOLUTIONAL NEURAL NETWORKS FOR DETERMINING THE AUTHORSHIP OF TEXTS Scientific notes of TNU named after V.I. Vernadskyi. Series: Technical Sciences Volume 32 (71) No. 6 2021 p. 134-138. https://doi.org/10.32838/2663-5941/2021.6/22

5. Sheremet O. I., Zaporozhets V. S. APPLICATION OF RECURRENT NEURAL NETWORKS FOR PERFORMING MACHINE REWRITING Scientific Herald of the Donbas State Machine-Building Academy No. 1 (25E), 2018 p.62-68 http://www.dgma.donetsk.ua/science_public /science_vesnik/№1(25E)_2018/article/11.pdf

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