2024/06/19 by Touzene Abderraouf, Abderraouf, Touzene, Abed Abdeljalil Wassim +3
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Network Security and Intrusion Detection #Non-Invasive Vital Sign Monitoring
paper · pdf · doi:10.48550/arxiv.2406.13694
openalex publication_date 2024/06/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.