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Development of a mobile-based intelligent module for identification and tracking of household appliances

Every year manufacturers of household appliances improve their devices, trying to make everyday life easier for users. New smart devices have many useful features, but not all users can easily cope with the complexity of the devices. One of the main tasks of household appliance manufacturers is to e...

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Autores principales: Kaplun, Dmitrii, Shpakovskaya, Irina, Sinitca, Aleksandr, Efimenko, George, Alqahtani, Malak S., Ghoniem, Rania M., Abbas, Mohamed, Soufiene, Ben Othman, Romanov, Sergey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556102/
https://www.ncbi.nlm.nih.gov/pubmed/37798359
http://dx.doi.org/10.1038/s41598-023-42656-3
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author Kaplun, Dmitrii
Shpakovskaya, Irina
Sinitca, Aleksandr
Efimenko, George
Alqahtani, Malak S.
Ghoniem, Rania M.
Abbas, Mohamed
Soufiene, Ben Othman
Romanov, Sergey
author_facet Kaplun, Dmitrii
Shpakovskaya, Irina
Sinitca, Aleksandr
Efimenko, George
Alqahtani, Malak S.
Ghoniem, Rania M.
Abbas, Mohamed
Soufiene, Ben Othman
Romanov, Sergey
author_sort Kaplun, Dmitrii
collection PubMed
description Every year manufacturers of household appliances improve their devices, trying to make everyday life easier for users. New smart devices have many useful features, but not all users can easily cope with the complexity of the devices. One of the main tasks of household appliance manufacturers is to ensure the convenience of using appliances, taking into account the increasing complexity. Therefore, any manufacturer supplies equipment with a short but useful instruction manual. Practice shows that no printed user manual can compare with a demonstration of the device operation by a professional consultant. Instructions for home appliances using augmented reality technology will allow users to get the necessary detailed information about the device in a short period of time. As part of this work, the task of developing an artificial intelligence-based module is being solved. This module consists of developed classification, matching, and tracking submodules that can provide simple and fast visual instructions to users of household appliances in real time. The identification of household appliances is performed with more than 0.9 accuracy, and the tracking inside an unidentified object using the camera of a mobile device is processed with the success score of about 0.68 and frames per second (FPS) about 7. Mobile applications based on the proposed intelligent modules for Android and iOS were developed.
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spelling pubmed-105561022023-10-07 Development of a mobile-based intelligent module for identification and tracking of household appliances Kaplun, Dmitrii Shpakovskaya, Irina Sinitca, Aleksandr Efimenko, George Alqahtani, Malak S. Ghoniem, Rania M. Abbas, Mohamed Soufiene, Ben Othman Romanov, Sergey Sci Rep Article Every year manufacturers of household appliances improve their devices, trying to make everyday life easier for users. New smart devices have many useful features, but not all users can easily cope with the complexity of the devices. One of the main tasks of household appliance manufacturers is to ensure the convenience of using appliances, taking into account the increasing complexity. Therefore, any manufacturer supplies equipment with a short but useful instruction manual. Practice shows that no printed user manual can compare with a demonstration of the device operation by a professional consultant. Instructions for home appliances using augmented reality technology will allow users to get the necessary detailed information about the device in a short period of time. As part of this work, the task of developing an artificial intelligence-based module is being solved. This module consists of developed classification, matching, and tracking submodules that can provide simple and fast visual instructions to users of household appliances in real time. The identification of household appliances is performed with more than 0.9 accuracy, and the tracking inside an unidentified object using the camera of a mobile device is processed with the success score of about 0.68 and frames per second (FPS) about 7. Mobile applications based on the proposed intelligent modules for Android and iOS were developed. Nature Publishing Group UK 2023-10-05 /pmc/articles/PMC10556102/ /pubmed/37798359 http://dx.doi.org/10.1038/s41598-023-42656-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kaplun, Dmitrii
Shpakovskaya, Irina
Sinitca, Aleksandr
Efimenko, George
Alqahtani, Malak S.
Ghoniem, Rania M.
Abbas, Mohamed
Soufiene, Ben Othman
Romanov, Sergey
Development of a mobile-based intelligent module for identification and tracking of household appliances
title Development of a mobile-based intelligent module for identification and tracking of household appliances
title_full Development of a mobile-based intelligent module for identification and tracking of household appliances
title_fullStr Development of a mobile-based intelligent module for identification and tracking of household appliances
title_full_unstemmed Development of a mobile-based intelligent module for identification and tracking of household appliances
title_short Development of a mobile-based intelligent module for identification and tracking of household appliances
title_sort development of a mobile-based intelligent module for identification and tracking of household appliances
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556102/
https://www.ncbi.nlm.nih.gov/pubmed/37798359
http://dx.doi.org/10.1038/s41598-023-42656-3
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