Summary of An Embedded Intelligent System For Attendance Monitoring, by Touzene Abderraouf et al.
An Embedded Intelligent System for Attendance Monitoring
by Touzene Abderraouf, Abed Abdeljalil Wassim, Slimane Larabi
First submitted to arxiv on: 19 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes an intelligent embedded system for monitoring class attendance and sending the list to a remote computer. The system consists of two parts: an embedded device (Raspberry Pi with camera) for facial recognition and a web application for attendance management. To overcome challenges, the proposed solution adapts facial recognition models to limited Raspberry Pi resources and uses images from the camera. The approach achieves acceptable performance using these images. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a smart system that takes pictures of students in class and sends a list of who’s there to a computer. It’s made up of two parts: a small device (Raspberry Pi) with a camera that recognizes faces, and a website for managing attendance. The team had to figure out how to make the facial recognition work well despite the limited power of the Raspberry Pi and the quality of the images it takes. |
