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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.13694 |
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| _version_ | 1866929392061513728 |
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| author | Abderraouf, Touzene Wassim, Abed Abdeljalil Larabi, Slimane |
| author_facet | Abderraouf, Touzene Wassim, Abed Abdeljalil Larabi, Slimane |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_13694 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Embedded Intelligent System for Attendance Monitoring Abderraouf, Touzene Wassim, Abed Abdeljalil Larabi, Slimane Artificial Intelligence 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. |
| title | An Embedded Intelligent System for Attendance Monitoring |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2406.13694 |