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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 |
Files in This Item:
File | Description | Size | Format | |
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CHEIKHA-ACILA.pdf | 3,03 MB | Adobe PDF | View/Open |
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