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IT Marketing and Policy

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

초록

영어

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.

목차

Abstract
1. INTRODUCTION
2. RELATED STUDIES
2.1 AI Vision Sensor
2.2 Library Literature Classification Code System
2.3 Arduino's Field of Application
3. DESIGN AND IMPLEMENTATION
3.1 System Configuration Diagram
3.2 Search process of book notification system
4. EXPERIMENT AND ANALYSIS
5. CONCLUSION
Acknowledgement
REFERENCES

저자정보

  • Soyoung Kim Instructor, Institute of Liberal Arts Education Center, Andong National University, Korea
  • Heesun Kim Professor, Department of Software Convergence, Andong National University, Korea

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