An Embedded Intelligent System for Attendance Monitoring
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 21 references that are in the map. First posted on arXiv 19 Jun 2024.
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7 of 21 references.
References · 7
- 2015SSD: Single Shot MultiBox Detectorcited by 3,125
- 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,833
- 2019MediaPipe: A Framework for Building Perception Pipelinescited by 572
- 2019RetinaFace: Single-stage Dense Face Localisation in the Wildcited by 164
- 2023Real-Time Flying Object Detection with YOLOv8cited by 93
- 2022SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognitioncited by 21
- 2022Improving Depression estimation from facial videos with face alignment, training optimization and schedulingcited by 2
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