Estd Year 2015 | ISSN : 2455-104X | Email : editors.ijrls@gmail.com

Contribution of Latest Technologies in Library Automation

 Author(s):  Dr. Shiv Kumar,  Pankaj Kumar Bharti & Veer Singh Yadav

Abstract - In recent years, technology has quietly transformed even the most traditional spaces, including libraries. Once known for their manual, time-heavy processes, libraries are now shifting toward smarter, more automated environments. Tools like Artificial Intelligence (AI), Machine Learning (ML), RFID, Cloud Computing, and the Internet of Things (IoT) are making this possible. AI now supports tasks like book classification and personalized recommendations, while ML helps understand user preferences and trends. RFID makes it easier to track resources in real-time without manual scanning. Cloud systems allow digital collections to be accessed from anywhere, encouraging collaboration across institutions. This study explores how these technologies are reshaping library operations, not just in terms of speed and access, but in how services are delivered and decisions are made. It highlights both the opportunities, like automation, personalization, and connectivity and the challenges, such as high costs, data privacy, and technical barriers. Throughout the paper, we discuss key tools and their applications, real-world benefits, implementation difficulties, and future trends like blockchain and smart environments. The aim is to offer insights for libraries looking to evolve in a digital-first world.

Keywords - Library Automation, Artificial Intelligence, Machine Learning, RFID, Cloud Computing, IoT.

crossref logo 300x99                          DOI URL: https://doi.org/10.26761/ijrls.11.2.2025.1880

Cite This Article As: Kumar,  S.,  Bharti, P.K. & Veer Singh Yadav, V.S.  (2025) Contribution of Latest Technologies in Library Automation  International Journal of Research in Library Science (IJRLS), 11(2) 100-104. www.ijrls.in

Copyright © 2025 Author(s) retains the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0.

 

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Paper ID: IJRLS-1880    Page: 100-104    Publication Date: 6 May 2025

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