Automation system for product identification based on the internet of things technology

Автори

Sofiia Khrustalova
Kharkiv National University of Radio Electronics
https://orcid.org/0000-0002-7365-2355
Andrii Sliusar
Kharkiv National University of Radio Electronics
https://orcid.org/0009-0005-1960-7851
Kirill Khrustalev
Kharkiv National University of Radio Electronics
https://orcid.org/0000-0002-0687-5153
Mykola Zamirets
Kharkiv National University of Radio Electronics
https://orcid.org/0000-0002-1753-8929

Анотація

The purpose of the study is to increase the efficiency of identification of finished products in production. The object of research is the process of product identification using IoT technology. The subject of research is a software tool for product identification using IoT technology. The methods and technologies of product identification are analyzed. The existing commercial solutions for IoT-based product identification systems are reviewed, their structure, technical parameters, functionality and features of their use are investigated, and the advantages and disadvantages of these systems are identified. A structural diagram and algorithm for the operation of the product identification subsystem have been developed. The components of the system are selected, their design and functional features are described, and their technical characteristics are given. The system is implemented as a web application that provides automated collection, processing and transmission of information about identified products for further monitoring and analysis of this data.


Decision support systems in project and program management: Collective monograph edited by I. Linde

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Сторінки

78-105

Опубліковано

жовтня 28, 2024

Деталі про цю монографію

ISBN-13 (15)

978-9984-891-33-0