Face Recognition Attendance System Using Cloud Computing With Sms Alert System

Abstract

The present project proposes an Automated Attendance Management System, based on Deep Learning-based
Face Recognition technology, to assist in modernizing and advancing the once manual attendance keeping
system in educational centres. The system relies on the LBPH Face Recognizer that will detect the face in
real-time, thereby eliminating the necessity to conduct a manual roll call. Admin Module allows the
administrator to utilise the information regarding the students, to train the face recognition model, to
manage the attendance and to send the automated messages to the parents concerning the attendance and
the school performance of the students. Student Module enables the student to demonstrate their presence
using the assistance of facial recognition, check their profiles, and get their academic marks. The system
also has added features of the ability to monitor the performance of the students in real time and effective
communication with the parents via SMS notifications. Flask framework has been used to code the web
interface, thus making the site easy to use. This system improves the management side of running the
educational institutions, improves the efficient attendance of students in the learning institutions, and
improves communication between the students' parents.