Track: Automation and Control

Abstract

Face recognition technology has gained substantial attention owing to its diverse applications. One of the applications include face recognition-based attendance system which stands out the most among all the existing attendance systems because of its heightened security and time-saving capabilities. Face recognition system is the process of recognizing an individual based only on their facial traits. This paper proposes a real-time face recognition attendance system which validates the real-time monitoring of the process. OpenCV has been used to create a Haar cascade classifier, which is used to recognize faces. The face recognition algorithm Local Binary Pattern Histogram (LBPH) has been chosen in this system due to its robustness and better applicability in the real world. This proposed method is capable of identifying faces of individuals effectively from various angles. The results prove the validation of the work through the monitoring of students' attendance.