An Embedded Intelligent System for Attendance Monitoring

TL;DR

This paper presents an embedded system using a Raspberry Pi and facial recognition to monitor class attendance and transmit data remotely, addressing resource constraints and performance challenges.

Contribution

It introduces an integrated embedded and web-based system for attendance monitoring that adapts facial recognition to resource-limited devices.

Findings

Effective facial recognition on Raspberry Pi achieved

Real-time attendance data transmission implemented

System adapts to resource constraints

Abstract

In this paper, we propose an intelligent embedded system for monitoring class attendance and sending the attendance list to a remote computer. The proposed system consists of two parts : an embedded device (Raspberry with PI camera) for facial recognition and a web application for attendance management. The proposed solution take into account the different challenges: the limited resources of the Raspberry Pi, the need to adapt the facial recognition model and achieving acceptable performance using images provided by the Raspberry Pi camera.