Compact self-mixing vibrometer for application to burglary detection

Silvano Donati; Sheng Kwang Hwang

doi:10.1364/CLEO_AT.2020.AM1K.3

Compact self-mixing vibrometer for application to burglary detection

Silvano Donati, Sheng Kwang Hwang

Department of Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A laser-diode self-mixing vibrometer with a new, minimum part-count analogue processing of fringe signal is developed. It detects ambient vibrations with high sensitivity and is demonstrated to be an excellent burglary intrusion detector, on a range up to several meters.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	Applications and Technology, CLEO_AT 2020
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580767
DOIs	https://doi.org/10.1364/CLEO_AT.2020.AM1K.3
Publication status	Published - 2020
Event	CLEO: Applications and Technology, CLEO_AT 2020 - Washington, United States Duration: 2020 May 10 → 2020 May 15

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F181-CLEO-AT 2020
ISSN (Electronic)	2162-2701

Conference

Conference	CLEO: Applications and Technology, CLEO_AT 2020
Country/Territory	United States
City	Washington
Period	20-05-10 → 20-05-15

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Access to Document

10.1364/CLEO_AT.2020.AM1K.3

Cite this

@inproceedings{208f6b0a50754f89baeef29d07a03a14,

title = "Compact self-mixing vibrometer for application to burglary detection",

abstract = "A laser-diode self-mixing vibrometer with a new, minimum part-count analogue processing of fringe signal is developed. It detects ambient vibrations with high sensitivity and is demonstrated to be an excellent burglary intrusion detector, on a range up to several meters.",

author = "Silvano Donati and Hwang, {Sheng Kwang}",

note = "Publisher Copyright: CLEO 2020 {\textcopyright} OSA 2020 {\textcopyright} 2020 The Author(s).; CLEO: Applications and Technology, CLEO_AT 2020 ; Conference date: 10-05-2020 Through 15-05-2020",

year = "2020",

doi = "10.1364/CLEO_AT.2020.AM1K.3",

language = "English",

isbn = "9781943580767",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "CLEO",

}

Donati, S & Hwang, SK 2020, Compact self-mixing vibrometer for application to burglary detection. in CLEO: Applications and Technology, CLEO_AT 2020., AM1K.3, Optics InfoBase Conference Papers, vol. Part F181-CLEO-AT 2020, Optica Publishing Group (formerly OSA), CLEO: Applications and Technology, CLEO_AT 2020, Washington, United States, 20-05-10. https://doi.org/10.1364/CLEO_AT.2020.AM1K.3

TY - GEN

T1 - Compact self-mixing vibrometer for application to burglary detection

AU - Donati, Silvano

AU - Hwang, Sheng Kwang

PY - 2020

Y1 - 2020

N2 - A laser-diode self-mixing vibrometer with a new, minimum part-count analogue processing of fringe signal is developed. It detects ambient vibrations with high sensitivity and is demonstrated to be an excellent burglary intrusion detector, on a range up to several meters.

AB - A laser-diode self-mixing vibrometer with a new, minimum part-count analogue processing of fringe signal is developed. It detects ambient vibrations with high sensitivity and is demonstrated to be an excellent burglary intrusion detector, on a range up to several meters.

UR - http://www.scopus.com/inward/record.url?scp=85095134779&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85095134779&partnerID=8YFLogxK

U2 - 10.1364/CLEO_AT.2020.AM1K.3

DO - 10.1364/CLEO_AT.2020.AM1K.3

M3 - Conference contribution

AN - SCOPUS:85095134779

SN - 9781943580767

T3 - Optics InfoBase Conference Papers

BT - CLEO

PB - Optica Publishing Group (formerly OSA)

T2 - CLEO: Applications and Technology, CLEO_AT 2020

Y2 - 10 May 2020 through 15 May 2020

ER -

Compact self-mixing vibrometer for application to burglary detection

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this