• NARAYANI WATEGAONKAR
• Rushikesh Sonar
• Swaroop Diwan

This study introduces the Smart Library navigation system,a novel application that makes retrieval of books in office libraries easy.The system uses pyzbar for recognizing barcode/QR code,registering a 97.5% accuracy on a dataset of 500 books, dropping to 5% for defaced barcodes.Book title recognition using EasyOCR achieved 89% accuracy,with difficulties in stylized fonts and handwritings.Average time to retrieve was less than 0.5 seconds, and cataloging was seamless.A GUI based on Tkinter facilitates easy book scanning,record handling, and reading list management.10 members of the library tested for usability, with an 85% satisfaction rate.The system combines deep learning, computer vision, and OCR,correlating book positions in a virtual matrix.Users may scan books in real-time or upload images for recognition, with location information given through text-to- speech feedback.TensorFlow-based image classification and CLAHE-boosted image pre-processing enhance detection accuracy.The research analyzes technical deployment,performance,and usability,covering manual catalog inefficiencies and realtime tracking.Enhancements in the future include OCR advancements,cloud storage, and enhanced accessibility features

Deep Learning,Optical Character Recognition (OCR),Text-to-Speech,Library Automation,Virtual Library Matrix,Book Localization,Streamlit Interface,TensorFlow

"Smart Library Navigation system using deep learning and computer vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.g141-g145, May-2025, Available :http://www.jetir.org/papers/JETIR2505715.pdf

"Smart Library Navigation system using deep learning and computer vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppg141-g145, May-2025, Available at : http://www.jetir.org/papers/JETIR2505715.pdf