Security System for Smart Homes to Prevent Theft

Author:

Mary Anitha1,Stanley P. Kingston2,Brindha V. Evelyn2,Joseph J. Jency3

Affiliation:

1. Karunya University, India

2. Karunya Institute of Technology and Sciences, India

3. Krishna College of Technology, India

Abstract

The chapter intends to create a system that alerts the victim of theft in real time. The current system does not distinguish between people and objects; instead, it uses a methodology to identify the burglar after the theft has taken place. The internet of things and advancements in wireless sensor networks make it possible to create a smart, safe home that can detect burglars in real time and notify the homeowner while the theft is occurring. The suggested approach is better than the current ones that use CCTV cameras for surveillance.

Publisher

IGI Global

Reference19 articles.

1. Real-Time Intruder Detection in Surveillance Networks Using Adaptive Kernel Methods

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3. Face detection based on probability of amplitude distribution of local binary patterns algorithm

4. Anitha, Kalra, & Shrivastav. (2016). A Cyber defence using artificial home automation system using IoT. International Journal of Pharmacy and Technology, 8, 25358-64.

5. Cristian, Ursache, Popa, & Pop. (2016). Energy efficiency and robustness for IoT: Building a smart home security system. Faculty of Automatic Control and Computers University Politehnica of Bucharest.

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