Face Recognition Attendance Systems
Akash Kumar · International Journal for Research in Applied Science and Engineering Technology · 2025
In recent years, deep learning-based face recognition systems have emerged as powerful tools for automating attendance tracking in educational institutions and workplaces. This paper explores the development and implementation of such systems, leveraging state-of-the-art convolutional neural networks (CNNs) to achieve high accuracy rates. By addressing challenges such as dataset size and real time deployment, this research aims to provide a comprehensive understanding of the potential applications and benefits of deep learning in attendance tracking.