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A Study on Smart Tourism Based on Face Recognition Using Smartphone

  • Ryu, Ki-Hwan (Department of Tourism Management, Institute of Information Technology, Kwangwoon University) ;
  • Lee, Myoung-Su (Department of Management Information System. The Graduate School Kwangwoon University)
  • Received : 2016.09.26
  • Accepted : 2016.10.20
  • Published : 2016.11.30

Abstract

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

Acknowledgement

Supported by : Kwangwoon University

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