Learning-Aided IoT Set-Up for Home Surveillance Applications

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Author(s): Jutika Borah (Gauhati University, India), Kandarpa Kumar Sarma (Gauhati University, India)and Pulak Jyoti Gohain (Gauhati University, India)
Copyright: 2019
Pages: 26
Source title: Predictive Intelligence Using Big Data and the Internet of Things
Source Author(s)/Editor(s): P.K. Gupta (Jaypee University of Information Technology, India), Tuncer Ören (University of Ottawa, Canada)and Mayank Singh (University of KwaZulu-Natal, South Africa)
DOI: 10.4018/978-1-5225-6210-8.ch008

Keywords: Computer Science & IT / Data Mining and Databases / Information Science Reference / Internet Technologies

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Abstract

Of late, home surveillance systems have been enhanced considerably by resorting to increased use of automated systems. The automation aspect has reduced human intervention and made such systems reliable and efficient. With the proliferation of wireless devices, networking among the connected devices is leading to the formation of internet of things (IoT). This has made it essential that home surveillance systems be also automate using IoT. The decision support system (DSS) in such platforms necessitates that automation be extensive. It necessitates the use of learning-aided systems. This chapter reports the design of IoT-driven learning-aided system for home surveillance application.

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