Next Article in Journal
Data Governance in the Health Industry: Investigating Data Quality Dimensions within a Big Data Context
Next Article in Special Issue
Feasibility Analysis of a LoRa-Based WSN Using Public Transport
Previous Article in Journal
Water Driven Soft Actuator
Previous Article in Special Issue
Developing a Decision Support System (DSS) for a Dental Manufacturing Production Line Based on Data Mining
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
ASI
Volume 1
Issue 4
10.3390/asi1040042
asi-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Sharnil Pandya
1,
Hemant Ghayvat
2,*,
Ketan Kotecha
3,
Mohammed Awais
2,
Saeed Akbarzadeh
2,
Prosanta Gope
4,
Subhas Chandra Mukhopadhyay
5 and
Wei Chen
2
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
Submission 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)
Browse Figures
Versions Notes

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%.
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

Share and Cite

MDPI and ACS Style

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. https://doi.org/10.3390/asi1040042

AMA Style

Pandya S, Ghayvat H, Kotecha K, Awais M, Akbarzadeh S, Gope P, Mukhopadhyay SC, Chen W. Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Applied System Innovation. 2018; 1(4):42. https://doi.org/10.3390/asi1040042

Chicago/Turabian Style

Pandya, Sharnil, Hemant Ghayvat, Ketan Kotecha, Mohammed Awais, Saeed Akbarzadeh, Prosanta Gope, Subhas Chandra Mukhopadhyay, and Wei Chen. 2018. "Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol" Applied System Innovation 1, no. 4: 42. https://doi.org/10.3390/asi1040042

APA Style

Pandya, S., Ghayvat, H., Kotecha, K., Awais, M., Akbarzadeh, S., Gope, P., Mukhopadhyay, S. C., & Chen, W. (2018). Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Applied System Innovation, 1(4), 42. https://doi.org/10.3390/asi1040042

Article Metrics

Back to TopTop