Subramaniam, Shathis Kumar (2016) Intelligent Image Capturing Alarm System To Protect Your Locker Using Raspberry PI. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Intelligent Image Capturing Alarm System To Protect Your Locker Using Raspberry PI 24 Pages.pdf - Submitted Version Download (645kB) |
Abstract
As of late, the business sector of surveillance technology appears to offer costly and inflexible alert system. Home surveillance system assumes an essential part in this present day living style to help recognizing illegal activities. In addition to the expanding familiarity with productive home surveillance system, the execution of real-time alert system is vital for users. In the proposed project, an intelligent image capturing alarm system to protect locker using Raspberry Pi 2 is developed. Raspberry Pi 2 is used as the main controller (server). A Passive Infrared (PIR) sensor is utilized to detect the intruder when an intrusion occurs. It performs its capacity by measuring the changes of infrared radiation in its perspective field. At the point when any conceivable intrusion is identified, a webcam installed to Raspberry Pi 2 will capture the picture of the intruder. In the meantime, the spotlight or light of the house which represented by an LED will be turn "ON" alongside an alarm sound from a buzzer which is fixed as an output. Finally, the user will then get an electronic (email) warning with the caught picture as an attachment. Along these lines the user can confirm the received email and make quick move by reporting the occasion to the authorized party. Taking everything into account, this improvement offers reasonable and easy to use surveillance alarm system.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Computer vision, Image processing, Image analysis, Computational intelligence |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Library > Final Year Project > FTK |
Depositing User: | Nor Aini Md. Jali |
Date Deposited: | 20 Sep 2017 09:04 |
Last Modified: | 20 Sep 2017 09:04 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/19440 |
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