Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/36742
Title: Smart Home security system using Raspberry Pi and YOLOv8
Authors: Rouabah, Boubakeur
Cheikha, Aya Ilham
Acila, Hani
Keywords: security system
smart home
cost
deep learning
Rasberry P
Issue Date: 2024
Publisher: UNIVERSITY KASDI MERBAH OUARGLA
Citation: FACULTE DES NOUVELLES TECHNOLOGIES DE L'INFORMATIQUE ET DE LA COMMUNICATION
Abstract: In non-main etrances to the house , many people use surveillance cameras and security systems to avoid theft ;but the latter may incluse some issues in the detection process and the high cost , this is what prompte us to search for a device that includes solutions to the previous problems montioned This thesis presents the development and implimentation of a home security system using Raspberry Pi and deep learning techniques ; this system benefits from its low costs and high accuracy in the detection process
URI: https://dspace.univ-ouargla.dz/jspui/handle/123456789/36742
Appears in Collections:Département d'Electronique et des Télécommunications - Master

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