DOI QR코드

DOI QR Code

A Study on Public Library Book Location Guidance System based on AI Vision Sensor

  • Soyoung Kim (Institute of Liberal Arts Education Center, Andong National University) ;
  • Heesun Kim (Department of Software Convergence, Andong National University)
  • 투고 : 2024.06.23
  • 심사 : 2024.07.05
  • 발행 : 2024.08.31

초록

The role of the library is as a public institution that provides academic information to a variety of people, including students, the general public, and researchers. These days, as the importance of lifelong education is emphasized, libraries are evolving beyond simply storing and lending materials to complex cultural spaces that share knowledge and information through various educational programs and cultural events. One of the problems library user's faces is locating books to borrow. This problem occurs because of errors in the location of borrowed books due to delays in updating library databases related to borrowed books, incorrect labeling, and books temporarily located in different locations. The biggest problem is that it takes a long time for users to search for the books they want to borrow. In this paper, we propose a system that visually displays the location of books in real time using an AI vision sensor and LED. The AI vision sensor-based book location guidance system generates a QR code containing the call number of the borrowed book. When the AI vision sensor recognizes this QR code, the exact location of the book is visually displayed through LED to guide users to find it easily. We believe that the AI vision sensor-based book location guidance system dramatically improves book search and management efficiency, and this technology is expected to have great potential for use not only in libraries and bookstores but also in a variety of other fields.

키워드

과제정보

This work was supported by a Research Grant of Andong National University

참고문헌

  1. GilDuk Im, DongCheol Lee, and MinSoo Kang, "Design of Book Management System using RFID," The Journal of Korean Institute of Information Technology, Vol. 4, No. 3, pp. 1-6, 2006.
  2. https://ko.wikipedia.org/wiki/%ED%95%9C%EA%B5%AD%EC%8B%AD%EC%A7%84%EB%B6%84%EB% A5%98%EB%B2%95
  3. Eun Hyeon Ha and Goon Ho Choi, "Position Control of an Object Using Vision Sensor," Journal of the Semiconductor & Display Technology, Vol. 10, No. 2, pp. 49-56, 2011.
  4. Young-kee Jung and Yo-sung Ho, "Feature-based Object Tracking using an Active Camera," Journal of the Korea Institute of Information and Communication Engineering, Vol. 8, No. 3, pp.694-701, 2004.
  5. Hyeon-Jin Jang, Jun-Seok Kim, Jun-Yeong Kim, Min-Seung Kang, Gwan-Hun Jung, and Keun-Chang Kwak, "AI-Based Vision Recognition Through Emotional Glasses," The Korean Institute of Electrical Engineers, pp. 112-113, 2022.
  6. Lee Eun Ha, Koo Kyoung Min, Jin Tae Hwan, and Cho Kyoung Chul, "A Study on AI Techniques to Improve Fiber Recognition Rate Based on Vision Sensor," KSME Spring Conference, pp. 96-96, 2022.
  7. Choi Jung-Wook and Oh Dong-Ik, "Development of an RFID based Library Management and Search System," Journal of the Korea Academia-Industrial cooperation Society, Vol. 6, No. 4, pp. 361-366, 2005.
  8. Physical Computing, https://terms.naver.com/entry.naver?docId=3612009&cid=58598&categoryId=59316
  9. J. H. Oh, M. S. Kim, I. J. Choi, M. H. Jang, H. J. Kim, and T. M. Lyoo, "The Effect of Physical Computing With Arduino Based Laboratory," Proceedings of The KACE, Vol. 18, No. 1, pp.101-104, 2014.
  10. S. Y. Kim, E. M. Jung, H. S. Kim, "Design and Implementation of Physical Computing Education Content based on Augmented Reality," International Journal of Internet, Broadcasting and Communication, Vol. 14, No. 4, pp.198-205, 2022. DOI : https://doi.org/10.7236/IJIBC.2022.14.4.198