Home security system using face recognition

This is a Home Security System that focuses on using face recognition. The system is divided into two main parts which are an Android application and Raspbery Pi module. Using the Home Security System application, the user will be able to sign up, sign in, reset password, upload face images (for fac...

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Bibliographic Details
Main Authors: Syed Syafiq, Syed Alias, Nur Shamsiah, Abdul Rahman, Anis Farihan, Mat Raffei
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/34472/
http://umpir.ump.edu.my/id/eprint/34472/1/Home%20security%20system%20using%20face%20recognition.CITREX2021..pdf
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author Syed Syafiq, Syed Alias
Nur Shamsiah, Abdul Rahman
Anis Farihan, Mat Raffei
author_facet Syed Syafiq, Syed Alias
Nur Shamsiah, Abdul Rahman
Anis Farihan, Mat Raffei
author_sort Syed Syafiq, Syed Alias
building UMP Institutional Repository
collection Online Access
description This is a Home Security System that focuses on using face recognition. The system is divided into two main parts which are an Android application and Raspbery Pi module. Using the Home Security System application, the user will be able to sign up, sign in, reset password, upload face images (for face recognition), retrieve uploaded images, retrieving door status and motion detection history and view CCTV footage. Raspberry Pi module is equipped with a camera module (face recognition purpose), passive infrared (PIR) motion sensor, door sensor and solenoid door lock.
first_indexed 2025-11-15T03:14:16Z
format Conference or Workshop Item
id ump-34472
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T03:14:16Z
publishDate 2021
recordtype eprints
repository_type Digital Repository
spelling ump-344722022-10-21T03:04:35Z http://umpir.ump.edu.my/id/eprint/34472/ Home security system using face recognition Syed Syafiq, Syed Alias Nur Shamsiah, Abdul Rahman Anis Farihan, Mat Raffei QA76 Computer software T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This is a Home Security System that focuses on using face recognition. The system is divided into two main parts which are an Android application and Raspbery Pi module. Using the Home Security System application, the user will be able to sign up, sign in, reset password, upload face images (for face recognition), retrieve uploaded images, retrieving door status and motion detection history and view CCTV footage. Raspberry Pi module is equipped with a camera module (face recognition purpose), passive infrared (PIR) motion sensor, door sensor and solenoid door lock. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34472/1/Home%20security%20system%20using%20face%20recognition.CITREX2021..pdf Syed Syafiq, Syed Alias and Nur Shamsiah, Abdul Rahman and Anis Farihan, Mat Raffei (2021) Home security system using face recognition. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. (Published)
spellingShingle QA76 Computer software
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Syed Syafiq, Syed Alias
Nur Shamsiah, Abdul Rahman
Anis Farihan, Mat Raffei
Home security system using face recognition
title Home security system using face recognition
title_full Home security system using face recognition
title_fullStr Home security system using face recognition
title_full_unstemmed Home security system using face recognition
title_short Home security system using face recognition
title_sort home security system using face recognition
topic QA76 Computer software
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/34472/
http://umpir.ump.edu.my/id/eprint/34472/1/Home%20security%20system%20using%20face%20recognition.CITREX2021..pdf