Development Of A Portable Community Video Surveillance System

Abd Gani, Shamsul Fakhar and Kadmin, Ahmad Fauzan and Hamid, Mohd Saad and Hamzah, Rostam Affendi and Kong, Hui Fen (2019) Development Of A Portable Community Video Surveillance System. International Journal Of Electrical And Computer Engineering (IJECE), 9 (3). pp. 1814-1821. ISSN 2088-8708

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Abstract

In 2016, a crime rate has been evidently increasing particularly in Kuala Lumpur areas, including reports on house break-ins, car thefts, motorcycle thefts and robbery. One way of deterring such cases is by installing CCTV monitoring system in premises such as houses or shops, but this usually requires expensive equipment and installation fees. In this paper a cheaper alternative of a portable community video surveillance system running on Raspberry Pi 3 utilizing OpenCV is presented. The system will detect motion based on image subtraction algorithm and immediately inform users when intruders are detected by sending a live video feed to a Telegram group chat, as well as sound the buzzer alarm on the Raspberry Pi. Additionally, any Telegram group members can request images and recorded videos from the system at any time by sending a get request in Telegram which will be handled by Telegram Bot. This system uses the Pi NoIR camera module as the image acquisition device equipped with a 36 LED infrared illuminator for night vision capability. In addition to the Python language, OpenCV, a computer vision simulation from Intel is also used for image processing tasks. The performance analysis of the completed system is also presented computational complexity while offering improved flexibility. The performance time is also presented, where the whole process is run with a noticeable 3 seconds delay in getting the final output.

Item Type:	Article
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software
Divisions:	Faculty of Electrical and Electronic Engineering Technology > Department of Electronic and Computer Engineering Technology
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	05 Mar 2020 12:15
Last Modified:	05 Mar 2020 12:15
URI:	http://eprints.utem.edu.my/id/eprint/24054
Statistic Details:	View Download Statistic

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