Publication Type:

Journal Article

Source:

Advances in Intelligent Systems and Computing, Springer Verlag, Volume 394, p.377-389 (2016)

ISBN:

9788132226543

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84959083100&partnerID=40&md5=90a5e3087c7a5495dc347cd1c8c0cc3d

Keywords:

Artificial intelligence, Face recognition, Gamma correction, Image processing, Monitoring, PCA algorithms, Pir sensors, Security systems, Surveillance systems, Ultrasonic applications, Ultrasonic sensors, Viola jones

Abstract:

The need for surveillance systems are increasing due to safety and security requirements. And there exists an ample amount of challenging work yet to be explored in this domain. The current work proposes design, development and implementation of a low-power home embedded surveillance system. Such systems being operated throughout the day, consumes considerable amount of power. Power consumption being a crucial design parameter affects the utility of the system. In the proposed system to consume power, use of low-power sensor groups and controlling the activation of surveillance camera is incorporated through the M-bed microcontroller. Presence of a person is detected and face recognition is carried out using various image processing techniques.

Notes:

cited By 0; Conference of International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015 ; Conference Date: 22 April 2015 Through 23 April 2015; Conference Code:164469

Cite this Research Publication

K. Arathi and Pillai, A. S., “Low-power home embedded surveillance system using image processing techniques”, Advances in Intelligent Systems and Computing, vol. 394, pp. 377-389, 2016.

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