AGV FOR LIBRARY MANAGEMENT

  • Unique Paper ID: 178290
  • Volume: 11
  • Issue: 12
  • PageNo: 5599-5604
  • Abstract:
  • This paper presents the design, development, and testing of an autonomous robot that utilizes a Raspberry Pi to perform line-following navigation, capture high-resolution images of book racks, process these images to extract textual information using OCR (Optical Character Recognition), and finally upload the results to a remote web server. The system integrates various hardware components, including a USB camera, IR sensors for line detection, and a motor driver (L298D) for precise manoeuvring. The report details the system architecture, algorithms used for navigation and image processing, design and implementation aspects, experimental results, and a cost analysis. The proposed robot is designed to work effectively in dynamic environments such as libraries and industrial storage settings, offering potential improvements over existing manual systems by automating inventory and documentation tasks. The overall design is modular, allowing for future enhancements in both navigation algorithms and data management.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{178290,
        author = {Harsitha S and DevaHarini R and MahaNandhana V and Shenbhaka Priya K B and Dr.A.Murugarajan},
        title = {AGV FOR LIBRARY MANAGEMENT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5599-5604},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178290},
        abstract = {This paper presents the design, development, and testing of an autonomous robot that utilizes a Raspberry Pi to perform line-following navigation, capture high-resolution images of book racks, process these images to extract textual information using OCR (Optical Character Recognition), and finally upload the results to a remote web server. The system integrates various hardware components, including a USB camera, IR sensors for line detection, and a motor driver (L298D) for precise manoeuvring. The report details the system architecture, algorithms used for navigation and image processing, design and implementation aspects, experimental results, and a cost analysis. The proposed robot is designed to work effectively in dynamic environments such as libraries and industrial storage settings, offering potential improvements over existing manual systems by automating inventory and documentation tasks. The overall design is modular, allowing for future enhancements in both navigation algorithms and data management.},
        keywords = {},
        month = {May},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 5599-5604

AGV FOR LIBRARY MANAGEMENT

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