Home Security System by using Deep Learning

• Main Author: Zulkifly, Siti Nurfathehah
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://utpedia.utp.edu.my/20661/1/23309_SitiNurfathehah_Dissertation.pdf; http://utpedia.utp.edu.my/20661/

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.