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A Study on Smart Tourism Based on Face Recognition Using Smartphone

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication KCI 등재후보 바로가기
  • 통권
    Vol.8 No.4 (2016.11)바로가기
  • 페이지
    pp.39-47
  • 저자
    Ki-Hwan Ryu, Myoung-Su Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A288785

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원문정보

초록

영어
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.

목차

Abstract
 1. Introduction
 2. System Model
 3. Research Result
  3.1 Personal Information Recognition Technology
  3.2 Speech Recognition Technology
  3.3 Application of Sensing Technology
  3.4 AI Personal Information recognition technology
 4. Conclusion
 Acknowledgement
 References

키워드

Face Recognition User Authentication System Information Management Smart Phone

저자

  • Ki-Hwan Ryu [ Department of Tourism Management, Institute of Information Technology, Kwangwoon University ] Corresponding author
  • Myoung-Su Lee [ Ph.D Course. Department of Management Information System. The Graduate School Kwangwoon University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.8 No.4

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