Ultrasonic intruder detection system for home security

Yue Peng Li*, Jun Yang, Xiao Dong Li, Jing Tian

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper describes a new intrusion detection system in the indoor environment, which is based on the airborne sonar technology and pattern classification. It utilizes an ultrasonic transmitter and a receiver to receive the pulse-echo. The simplest feature of echoes, envelope is extracted to train and test the pattern classifiers. The correct classification rates of K-nearest-neighbor (KNN) and Back-Propagation (BP) network classifiers are compared in this paper. Experiment results show that this system has a good performance on the intrusion detection.

Original languageEnglish
Title of host publicationIntelligent Control and Automation
Subtitle of host publicationInternational Conference on Intelligent Computing, ICIC 2006
PublisherSpringer Verlag
Pages1108-1115
Number of pages8
ISBN (Print)3540372555, 9783540372554
DOIs
Publication statusPublished - 2006
Externally publishedYes

Publication series

NameLecture Notes in Control and Information Sciences
Volume344
ISSN (Print)0170-8643

ASJC Scopus Subject Areas

  • Library and Information Sciences

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