Smart library automation using face recognition

Author:

Yalagi Pratibha S.,Mane Prachi V.

Abstract

Abstract The Library Automation System is gaining more importance as the number of its users is increasing. Automation of libraries reduces the duplication of work, saves time, and brings accuracy and speed. It also increases efficiency in library services and boosts the quality of work. One such effective system is the Smart Library Automation System using Face Recognition. The Proposed system uses face recognition for entering and getting the details of an end user. Through this application, the book gets issued to the end-user by identifying the user with the help of face recognition and identifying the book using barcode capture. In our system, we are using dlib face recognition, which is 99.38% accurate. We have provided the validations on the user registration form so that we get the right information. The registration process captures the face of the user and book issue, and the book return process checks the details of the user. End-users of the application will be librarians, students, and teachers. Our project aims at making the tasks of the library easy and to make the book issuing and returning process more interactive and effortless for the user. Also, our system is responsible for preserving the details of book issue and return and paperless report generation.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference16 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A new discriminative sparse parameter classifier with iterative removal for face recognition;Journal of Central South University;2022-04

2. Construction of Smart Library Based on the Big Data Mining and Knowledge Discovery;2021 Smart City Challenges & Outcomes for Urban Transformation (SCOUT);2021-12

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