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Intelligent Hotel Guidance System via Face Recognition Technology.
Bao, Chenlu; Yang, Yongjie; Wang, Zhiliang; Xu, Peng.
Afiliação
  • Bao C; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Yang Y; School of Information Science and Technology, Nantong University, Nantong 226019, China.
  • Wang Z; Nantong Research Institute for Advanced Communication Technologies Co., Ltd., Nantong 226019, China.
  • Xu P; School of Information Science and Technology, Nantong University, Nantong 226019, China.
Sensors (Basel) ; 23(22)2023 Nov 09.
Article em En | MEDLINE | ID: mdl-38005463
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article