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@article{162129,
        author = {Shatrunjay Kumar and Nethra H L  and Shashank Dubey and Sridhar Srinath and Sudarshan Singh},
        title = {Implementation of Face Recognition in Attendance System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {8},
        pages = {75-80},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162129},
        abstract = {The Attendance Management System based on Face Recognition (FRAMS) represents a groundbreaking approach crafted to simplify and automate the conventional attendance tracking procedures across diverse educational and corporate environments. Utilizing cutting-edge facial recognition technology, FRAMS offers a secure, effective, and user-friendly approach to precisely record and manage attendance data.
Employing advanced deep learning algorithms, the system engages in the identification and authentication of individuals based on their facial features. Through the utilization of a repository containing pre-registered faces, the system guarantees a high degree of accuracy and reliability in attendance tracking, obviating the necessity for manual recording techniques like paper-based systems or swipe cards.
},
        keywords = {Image processing, face recognition technology, face recognition, attendance system},
        month = {},
        }