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Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol

1
Computer Science & Engineering Department, Navrachana University, Vadodara 391410, Gujarat, India
2
Center for Intelligent Medical Electronics, Fudan University, Shanghai 200433, China
3
Director, SIT, Symbiosis International University, Pune,411004, India
4
School of Engineering and Computer Science, University of Hull, Hull, HU1 1DB, UK
5
Mechanical/Electronics Engineering, Macquarie University, Sydney, NSW 2109, Australia
*
Author to whom correspondence should be addressed.
Appl. Syst. Innov. 2018, 1(4), 42; https://doi.org/10.3390/asi1040042
Received: 19 September 2018 / Revised: 15 October 2018 / Accepted: 16 October 2018 / Published: 23 October 2018
(This article belongs to the Special Issue Wireless Sensor Networks on Internet of Things and Intelligent System)
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Abstract

The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an ongoing theft (unauthorized access to their premises). For this purpose, a rigorous analysis of existing systems was undertaken to identify research gaps. The problems found with existing systems were that they can only identify the intruder after the theft, or cannot distinguish between human and non-human objects. Wireless Sensors Networks (WSNs) combined with the use of Internet of Things (IoT) and Cognitive Internet of Things are expanding smart home concepts and solutions, and their applications. The present research proposes a novel smart home anti-theft system that can detect an intruder, even if they have partially/fully hidden their face using clothing, leather, fiber, or plastic materials. The proposed system can also detect an intruder in the dark using a CCTV camera without night vision capability. The fundamental idea was to design a cost-effective and efficient system for an individual to be able to detect any kind of theft in real-time and provide instant notification of the theft to the house owner. The system also promises to implement home security with large video data handling in real-time. The investigation results validate the success of the proposed system. The system accuracy has been enhanced to 97.01%, 84.13, 78.19%, and 66.5%, in scenarios where a detected intruder had not hidden his/her face, hidden his/her face partially, fully, and was detected in the dark from 85%, 64.13%, 56.70%, and 44.01%. View Full-Text
Keywords: smart anti-theft system; intruder detection; unsupervised activity monitoring; smart home; partially/fully covered faces smart anti-theft system; intruder detection; unsupervised activity monitoring; smart home; partially/fully covered faces
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Pandya, S.; Ghayvat, H.; Kotecha, K.; Awais, M.; Akbarzadeh, S.; Gope, P.; Mukhopadhyay, S.C.; Chen, W. Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Appl. Syst. Innov. 2018, 1, 42.

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