A person's face is their unique identifier. Since the development of image processing techniques, there has been a lot of innovation in
methods to use this physical feature for various purposes. The main goal of a face recognition system is to accurately recognize a person so that
they can be further processed. While traditional face recognition systems use input to identify a face, the results aren't always as accurate and
precise as desired. In this paper, we describe a system that aims to break away from this trend and introduce a new approach to using face
recognition—specifically, the generation of a 3D facial model—to accurately identify students. The system is designed to function as an automated
attendance system in a classroom setting.