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A Real-Time Tourist Information and AR Experience System Using FastAPI and Unity

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.17 No.1 (2025.02)바로가기
  • 페이지
    pp.316-326
  • 저자
    Young Jin An, So Yul Yu, Kye Dong Jung, Hyo Young Shin
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A465045

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원문정보

초록

영어
We propose a system that integrates real-time data processing and augmented reality (AR) technology to provide users with an immersive tourism experience. The proposed system comprises three main components: First, Real-Time Location-Based Tourism Information System: This system utilizes FastAPI, Folium, and Unity's Input.location feature to provide information about nearby tourist attractions based on the user's GPS data. It visualizes this information through AR content, offering a personalized experience. Second, Metaverse- Based Tourism Experience System: Designed using FastAPI, Unity's Vuforia, and NavMesh, this component enables users to explore cultural heritage sites and tourist destinations within a virtual environment through real-time location tracking and AR content. Third, MobileNet-Based AR Tourism System: Leveraging the MobileNet transfer learning model and Unity's AR Foundation, this system implements real-time image prediction and AR content visualization, delivering an interactive tourism experience. This study presents various technical approaches and system design methodologies to support immersive tourism experiences that seamlessly blend the virtual and physical worlds.

목차

Abstract
1. Introduction
1.1 Background and Objectives
1.2 Research Objective
2. Related Works
3. Proposed System
3.1 Location-based tourism information systems
3.2 Metaverse-based tourism experience system
3.3 MobileNet-Based AR Tourism System
4. System implementation
4.1 Location-based tourism information system
4.2 Metaverse-based tourism experience system
4.3 AR tourism system based on MobileNet
5. Conclusion and Future Work
Acknowledgement
References

저자

  • Young Jin An [ Student, Department of Big Data, Namyangju Campus, Kyungbok University, Korea ]
  • So Yul Yu [ Adjunct professor, Department of Software Convergence, Namyangju Campus, Kyungbok University, Korea ]
  • Kye Dong Jung [ Visiting professor, Department of Software Convergence, Namyangju Campus, Kyungbok University ]
  • Hyo Young Shin [ Professor, Department of Software Convergence, Namyangju Campus, Kyungbok University, Korea ] Corresponding Author

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

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