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Intelligent Hotel Guidance System via Face Recognition Technology
In modern large hotels, due to a large number of rooms and complex layouts, it is difficult for customers to find rooms, which increases a lot of workloads for hotel attendants to guide. In this paper, a hotel intelligent guidance system based on face recognition is designed. After entering the cust...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675147/ https://www.ncbi.nlm.nih.gov/pubmed/38005463 http://dx.doi.org/10.3390/s23229078 |
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author | Bao, Chenlu Yang, Yongjie Wang, Zhiliang Xu, Peng |
author_facet | Bao, Chenlu Yang, Yongjie Wang, Zhiliang Xu, Peng |
author_sort | Bao, Chenlu |
collection | PubMed |
description | In modern large hotels, due to a large number of rooms and complex layouts, it is difficult for customers to find rooms, which increases a lot of workloads for hotel attendants to guide. In this paper, a hotel intelligent guidance system based on face recognition is designed. After entering the customer’s facial photos, the room guidance and customer management are carried out through face recognition. With this, hotels can move toward card-free management, green environmental protection, and save on resources. With these improvements, hotel management will be card-free and green. Each monitoring device of the system adopts dual STM32 core architecture, in which STM32H7 is responsible for face recognition, while STM32L4 is the main control chip, which is responsible for data exchange, guest room guidance and other work. The monitoring master not only guides, but also uploads customer check-in information to the cloud platform to facilitate the management of the hotel. The system adopts contactless information collection and guidance, which improves the intelligence and humanization of the hotel, and has a good application prospect. |
format | Online Article Text |
id | pubmed-10675147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106751472023-11-09 Intelligent Hotel Guidance System via Face Recognition Technology Bao, Chenlu Yang, Yongjie Wang, Zhiliang Xu, Peng Sensors (Basel) Article In modern large hotels, due to a large number of rooms and complex layouts, it is difficult for customers to find rooms, which increases a lot of workloads for hotel attendants to guide. In this paper, a hotel intelligent guidance system based on face recognition is designed. After entering the customer’s facial photos, the room guidance and customer management are carried out through face recognition. With this, hotels can move toward card-free management, green environmental protection, and save on resources. With these improvements, hotel management will be card-free and green. Each monitoring device of the system adopts dual STM32 core architecture, in which STM32H7 is responsible for face recognition, while STM32L4 is the main control chip, which is responsible for data exchange, guest room guidance and other work. The monitoring master not only guides, but also uploads customer check-in information to the cloud platform to facilitate the management of the hotel. The system adopts contactless information collection and guidance, which improves the intelligence and humanization of the hotel, and has a good application prospect. MDPI 2023-11-09 /pmc/articles/PMC10675147/ /pubmed/38005463 http://dx.doi.org/10.3390/s23229078 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bao, Chenlu Yang, Yongjie Wang, Zhiliang Xu, Peng Intelligent Hotel Guidance System via Face Recognition Technology |
title | Intelligent Hotel Guidance System via Face Recognition Technology |
title_full | Intelligent Hotel Guidance System via Face Recognition Technology |
title_fullStr | Intelligent Hotel Guidance System via Face Recognition Technology |
title_full_unstemmed | Intelligent Hotel Guidance System via Face Recognition Technology |
title_short | Intelligent Hotel Guidance System via Face Recognition Technology |
title_sort | intelligent hotel guidance system via face recognition technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675147/ https://www.ncbi.nlm.nih.gov/pubmed/38005463 http://dx.doi.org/10.3390/s23229078 |
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