Secured Library Access Through Face Recognition Integrated with RFID Technology

Securing resources in the library is one of the prime concerns by preventing the entry of unauthorized users into the library. Saving time of users at entry/exit and circulation points is the next key concern. To access the library, the member is expected to swipe or scan his smart or IDentity (ID) card at the entry/exit point, and he/she is expected to wait at circulation points for the issue of books. In this system, members cannot access the library if they forgot to bring or miss their cards. Unauthorized persons can also easily enter into the library with stolen or duplicate ID cards. In order to secure and automate the library, a new system of accessing the library is proposed with deep learning and Radio-Frequency IDentification (RFID) technology. The proposed system focuses on automating the authentication of user with face recognition at the entry/exit point (turnstile) and providing them good user experience and automating the issue of books (RFID tagged) by using RFID detectors at the exit point. This system yields good results with our test datasets. Activation of this system at library premises ensures security and also facilitates auto checks-in and out, and thus saves users' valuable time.