Home Security System by using Deep Learning

Zulkifly, Siti Nurfathehah (2020) Home Security System by using Deep Learning. [Final Year Project] (Submitted)

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The purpose of this project is to present a Home Security System prototype. The goal of this project is to provide the home security system prototype integrated with deep learning for facial recognition which is focused on using only one face recognition for training the model. Home Security System is an Internet of Things (IoT) system which can differentiate between homeowner and intruder. Hence the alarm of the system triggered when there is an attempt of break-in precisely if the intruder is identified. Home Security System allows the enhancement of home security by detection of intruder which is new concept and implementation of an effective integration of deep learning-based home security system.

Item Type: Final Year Project
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 06 Sep 2021 09:19
Last Modified: 06 Sep 2021 09:19
URI: http://utpedia.utp.edu.my/id/eprint/20661

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