SMART ATTENDANCE RECOURDING SYSTEM (SARS)

Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/38716

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DC Field	Value	Language
dc.contributor.author	ROUABAH, BOUBAKEUR	-
dc.contributor.author	OULEDMOKHTER, MOHAMMED TOUHAMI	-
dc.contributor.author	DJELLAKH, OUALID	-
dc.date.accessioned	2025-11-16T08:52:13Z	-
dc.date.available	2025-11-16T08:52:13Z	-
dc.date.issued	2025	-
dc.identifier.citation	FACULTY OF NEW TECHNOLOGIES OF INFORMATION AND COMMUNICATION	en_US
dc.identifier.uri	https://dspace.univ-ouargla.dz/jspui/handle/123456789/38716	-
dc.description	Automation and system	en_US
dc.description.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.	en_US
dc.description.sponsorship	Department of: Electronic and Telecommunication	en_US
dc.language.iso	en	en_US
dc.publisher	UNIVERSITY OF KASDI MERBAH OUARGLA	en_US
dc.title	SMART ATTENDANCE RECOURDING SYSTEM (SARS)	en_US
dc.type	Thesis	en_US
Appears in Collections:	Département d'Electronique et des Télécommunications - Master

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OULEDMOKHTAR-DJELLAKH.pdf	Automation and system	2,11 MB	Adobe PDF	View/Open

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