Open AccessSmart library automation using face recognition
Author(s) -
Pratibha S. Yalagi,
Prachi V. Mane
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1854/1/012041
Subject(s) - automation , barcode , computer science , process (computing) , facial recognition system , face (sociological concept) , face recognition grand challenge , quality (philosophy) , end user , human–computer interaction , multimedia , world wide web , work (physics) , face detection , software engineering , artificial intelligence , engineering , pattern recognition (psychology) , operating system , mechanical engineering , social science , philosophy , epistemology , sociology
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.