Smart Meet — Facial Recognition-based Conferencing Platform

Abstract

The face of a person is his uniqueness or identity. Along with textual data like names and identification numbers, the physical features of one's face are also a very efficient way to identify and preserve individuality. This feature improved accuracy in identifying and distinguishing between specific individuals when utilized with other identification labels. This paper aims to provide a conferencing platform and attendance marking with the help of facial recognition. The traditional method of calling names to mark attendance causes various issues in online classes. The inclusion of facial recognition and other monitoring methods ensures a more accurate and efficient way for attendance marking. In this work, Computer Vision techniques for video monitoring purposes, login tracking, and other features for better and more efficient utility.