DocumentCode :
3484998
Title :
Low cost real-time system monitoring using Raspberry Pi
Author :
Huu-Quoc Nguyen ; Ton Thi Kim Loan ; Bui Dinh Mao ; Eui-Nam Huh
Author_Institution :
Comput. Eng. Dept., Kyung Hee Univ., Yongin, South Korea
fYear :
2015
fDate :
7-10 July 2015
Firstpage :
857
Lastpage :
859
Abstract :
Nowadays, the Closed-Circuit Television (CCTV) surveillance system is being utilized in order to keep peace and provide security to people. There are several defects in the video surveillance system, such as: picture is indistinct, anomalies cannot be identified automatically, a lot of storage spaces are needed to save the surveillance information, and prices remain relatively high. This paper describes the design and implementation of a low-cost system monitoring based on Raspberry Pi, a single board computer which follows Motion Detection algorithm written in Python as a default programming environment. In addition, the system uses the motion detection algorithm to significantly decrease storage usage and save investment costs. The algorithm for motion detection is being implemented on Raspberry Pi, which enables live streaming camera along with detection of motion. The live video camera can be viewed from any web browser, even from mobile in real-time.
Keywords :
closed circuit television; image motion analysis; real-time systems; video surveillance; CCTV surveillance system; Python; Raspberry Pi; Web browser; closed-circuit television surveillance system; default programming environment; live streaming camera; motion detection algorithm; real-time system monitoring; single board computer; video surveillance system; Boards; Cameras; Computers; Motion detection; Streaming media; Surveillance; Motion Detection; Raspberry Pi; Video surveillance; streaming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
Conference_Location :
Sapporo
ISSN :
2288-0712
Type :
conf
DOI :
10.1109/ICUFN.2015.7182665
Filename :
7182665
Link To Document :
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