Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/38716| Title: | SMART ATTENDANCE RECOURDING SYSTEM (SARS) |
| Authors: | ROUABAH, BOUBAKEUR OULEDMOKHTER, MOHAMMED TOUHAMI DJELLAKH, OUALID |
| Issue Date: | 2025 |
| Publisher: | UNIVERSITY OF KASDI MERBAH OUARGLA |
| Citation: | FACULTY OF NEW TECHNOLOGIES OF INFORMATION AND COMMUNICATION |
| Abstract: | This project presents a smart attendance system that utilises Raspberry Pi and computer vision technologies such as YOLO and Face recognition to automate student attendance tracking. By recognising students' faces in real-time, the system reduces manual labour and errors. It aims to improve the accuracy and security of attendance processes, contributing to the creation of a technologically advanced campus. |
| Description: | Automation and system |
| URI: | https://dspace.univ-ouargla.dz/jspui/handle/123456789/38716 |
| Appears in Collections: | Département d'Electronique et des Télécommunications - Master |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| OULEDMOKHTAR-DJELLAKH.pdf | Automation and system | 2,11 MB | Adobe PDF | View/Open |
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