Smart Home Automation System for Intrusion Detection

被引：0

作者：

Chowdhry, Danish ^{[1
]}

Paranjape, Raman ^{[1
]}

Laforge, Paul ^{[1
]}

机构：

[1] Univ Regina, Fac Engn & Appl Sci, Regina, SK, Canada

来源：

2015 IEEE 14TH CANADIAN WORKSHOP ON INFORMATION THEORY (CWIT) | 2015年

关键词：

Home automation; Internet; intrusion detection; histogram of oriented gradients; appliances; ARCHITECTURE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the area of home security and protection, vision-based home automation systems (HAS) play a significant role. In this paper, we present the design and implementation of a smart HAS with incorporated intrusion detection to minimize damages caused by burglary. In addition, the proposed HAS integrates a web server to home appliances in order to remotely access and control their status. Intrusion detection, on the other hand, uses Histogram of Oriented Gradients (HOG) feature descriptors and a Support Vector Machine (SVM) classifier for accurate human detection by smartly rejecting false alarms arising from pets. This system comprised of a simple architecture and requires no human intervention. It allows for prompt accessibility, efficient usage of electricity and provides user convenience.

引用

页码：75 / 78

页数：4

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