Intelligent security system
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016.
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| বিন্যাস: | গবেষণাপত্র |
| ভাষা: | English |
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BRAC University
2017
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| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/7739 |
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10361-77392019-09-30T03:11:07Z Intelligent security system Zafar, Fairooz Maliha, Maisha Afnan, Moin Kiber, Dr. Md. Adnan Department of Electrical and Electronic Engineering, BRAC University Intelligent security system RPi This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 41). Keeping our homes and office spaces safe and secure from intruders has always been a priority in our lives and like everything else, adding technology in this aspect can make our existing security measure better and more efficient. For our thesis project, we are aiming to create an intelligent security system that will incorporate Raspberry Pi (RPi), Camera Module and Android operating system to make a real-time, user friendly and reliable form of security and surveillance system. The RPi uses Haar Cascade algorithm to extract facial features in given images to detect faces. With a machine learning approach along with Eigen faces algorithm, the program is trained to recognize the features of a face from images already fed to the system. The RPi uses opencv application to compare the new image with the images already stored in the SD Card for cross-referencing purposes. The images for cross-referencing can be copied to the SD Card with a computer or can also be uploaded via the Android application. If the system finds that the image does not match any image in the directory it uploads that image to the server set up in the RPi given that internet connection is available. On the other hand, if it matches, the RPi does not do anything. Once uploaded, the image can be viewed from the Android Application. The app will offer the user multiple options on notifications, image receiving/storing and disabling/enabling the service. By using this system, the user will get real time alert when there's activity within a predetermined area, check whether it is an intrusion or not and store photos for further investigations if required. Fairooz Zafar Maisha Maliha Moin Afnan B. Electrical and Electronic Engineering 2017-02-14T09:47:24Z 2017-02-14T09:47:24Z 2016 2016-12-14 Thesis ID 13110033 ID 12210015 ID 12221028 http://hdl.handle.net/10361/7739 en BRAC University thesis 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. 41 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Intelligent security system RPi |
| spellingShingle |
Intelligent security system RPi Zafar, Fairooz Maliha, Maisha Afnan, Moin Intelligent security system |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016. |
| author2 |
Kiber, Dr. Md. Adnan |
| author_facet |
Kiber, Dr. Md. Adnan Zafar, Fairooz Maliha, Maisha Afnan, Moin |
| format |
Thesis |
| author |
Zafar, Fairooz Maliha, Maisha Afnan, Moin |
| author_sort |
Zafar, Fairooz |
| title |
Intelligent security system |
| title_short |
Intelligent security system |
| title_full |
Intelligent security system |
| title_fullStr |
Intelligent security system |
| title_full_unstemmed |
Intelligent security system |
| title_sort |
intelligent security system |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/7739 |
| work_keys_str_mv |
AT zafarfairooz intelligentsecuritysystem AT malihamaisha intelligentsecuritysystem AT afnanmoin intelligentsecuritysystem |
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1814307908549083136 |