Face recognition based home security system
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2019.
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Brac University
2021
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| Առցանց հասանելիություն: | http://hdl.handle.net/10361/14495 |
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10361-144952021-06-07T21:01:15Z Face recognition based home security system Sakib, Sadman Wadud, M. M. Abdul Arnob, Fakid Tazbid Rahman, Md. Khalilur Department of Electrical and Electronic Engineering, Brac University Face Recognition Home Security System This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (page 31). With the help of recent technological advancement the world is moving towards an era of advance security systems. For every single purpose or system the main concern is safety. As software based security system creates a good vibe in the security industry because of its robustness so people are more interested to use it in different places like office or even at home. For ensuring an efficient security system and a solid surveillance camera vision has been used vastly nowadays. In this research an image processing based low cost home security system has been approached for home safety and surveillance. Different image processing algorithms based on python, deep learning, Convolutional Neural Networks has been used for better output. Algorithm based on Haar Cascade Classifiers using open CV gives the desired results for low cost components. An IOT based mobile application which is also a part of the total system helps the user to ensure a notification based surveillance system when the user is away from home. Different experimental analysis based on different data sets justify the efficiency as well as sustainability of the total system for real life scenario. Sadman Sakib M. M. Abdul Wadud Fakid Tazbid Arnob B. Electrical and Electronic Engineering 2021-06-07T13:42:14Z 2021-06-07T13:42:14Z 2019 2019-12 Thesis ID: 13121041 ID: 13221041 ID: 13321013 http://hdl.handle.net/10361/14495 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 31 Pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
Face Recognition Home Security System |
| spellingShingle |
Face Recognition Home Security System Sakib, Sadman Wadud, M. M. Abdul Arnob, Fakid Tazbid Face recognition based home security system |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2019. |
| author2 |
Rahman, Md. Khalilur |
| author_facet |
Rahman, Md. Khalilur Sakib, Sadman Wadud, M. M. Abdul Arnob, Fakid Tazbid |
| format |
Thesis |
| author |
Sakib, Sadman Wadud, M. M. Abdul Arnob, Fakid Tazbid |
| author_sort |
Sakib, Sadman |
| title |
Face recognition based home security system |
| title_short |
Face recognition based home security system |
| title_full |
Face recognition based home security system |
| title_fullStr |
Face recognition based home security system |
| title_full_unstemmed |
Face recognition based home security system |
| title_sort |
face recognition based home security system |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/14495 |
| work_keys_str_mv |
AT sakibsadman facerecognitionbasedhomesecuritysystem AT wadudmmabdul facerecognitionbasedhomesecuritysystem AT arnobfakidtazbid facerecognitionbasedhomesecuritysystem |
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