An Embedded Intelligent System for Attendance Monitoring

Touzene Abderraouf, Abed Abdeljalil Wassim, Slimane Larabi
6/19/2024
cs.AI

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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.

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Cite this paper

@article{abderraouf2024embedded,
  title  = {An Embedded Intelligent System for Attendance Monitoring},
  author = {Touzene Abderraouf and Abed Abdeljalil Wassim and Slimane Larabi},
  year   = {2024},
  eprint = {2406.13694},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.13694v1}
}

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