Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/36742
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRouabah, Boubakeur-
dc.contributor.authorCheikha, Aya Ilham-
dc.contributor.authorAcila, Hani-
dc.date.accessioned2024-09-18T10:20:03Z-
dc.date.available2024-09-18T10:20:03Z-
dc.date.issued2024-
dc.identifier.citationFACULTE DES NOUVELLES TECHNOLOGIES DE L'INFORMATIQUE ET DE LA COMMUNICATIONen_US
dc.identifier.urihttps://dspace.univ-ouargla.dz/jspui/handle/123456789/36742-
dc.description.abstractIn 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 processen_US
dc.language.isoenen_US
dc.publisherUNIVERSITY KASDI MERBAH OUARGLAen_US
dc.subjectsecurity systemen_US
dc.subjectsmart homeen_US
dc.subjectcosten_US
dc.subjectdeep learningen_US
dc.subjectRasberry Pen_US
dc.titleSmart Home security system using Raspberry Pi and YOLOv8en_US
dc.typeThesisen_US
Appears in Collections:Département d'Electronique et des Télécommunications - Master

Files in This Item:
File Description SizeFormat 
CHEIKHA-ACILA.pdf3,03 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.