Harnessing Security Improvements Using FaceNet Approach for Face Recognition System
P. Bhavya Sri, Kurella Navya, Kalla Saiteja, P. Keerthi, Shanmugasundaram Hariharan, Vinay Kukreja · 2024
In the realm of education technology, the integration of biometric authentication has garnered significant attention for its potential to streamline and enhance traditional attendance management systems. This research explores the development and implementation of a Face Recognition-Based Attendance System (FRBAS) using the state-of-the-art FaceNet technology. FaceNet, renowned for its accuracy and efficiency in facial recognition, serves as the backbone for the proposed system. The Face Recognition-Based Attendance System (FRBAS) leverages FaceNet technology to not only provide a seamless and secure method for recording attendance but also offers a robust solution for identity verification. By harnessing the power of deep learning, the system ensures high accuracy and reliability in recognizing facial features, reducing the chances of errors associated with traditional methods. Additionally, the integration of biometric authentication not only enhances security but also facilitates a more efficient and timely attendance tracking process, promoting a technologically advanced and streamlined educational environment.