System for Acoustic Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00342739" target="_blank" >RIV/68407700:21230/20:00342739 - isvavai.cz</a>
Result on the web
<a href="http://www.imeko-tc4-2020.org/" target="_blank" >http://www.imeko-tc4-2020.org/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
System for Acoustic Detection
Original language description
At present, acoustic detection techniques of gunshots (gunshot detection) are increasingly being used not only for military applications but also for civilian purposes. Detection, localization, and classification of gunshots employing acoustic detection is perspective alternative to visual detection, which is commonly used. In certain situations, to detect a source of a gunshot, an automatic acoustic detection system may be preferable. This paper presents a system for acoustic detection, which can detect localize and classify acoustic events such as gunshots. Tested firearms are 9 mm short gun, 6.35 mm short gun, .22 short gun, and .22 rifle gun with various subsonic and supersonic ammunition. As “false alarms,” sets of different impulse acoustic events like door slams, breaking glass, etc. have been used. To successfully classify the tested acoustic signals, Continuous Wavelet and Mel Frequency Transformation methods have been used for the signal processing, and the fully two-layer connected neural network has been implemented. The results show that the acoustic detector can be used for reliable gunshot detection, localization, and classification.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
24th IMEKO TC4 International Symposium and 22nd International Workshop on ADC and DAC Modelling and Testing
ISBN
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ISSN
0237-028X
e-ISSN
0237-028X
Number of pages
6
Pages from-to
347-352
Publisher name
IMEKO
Place of publication
Palermo
Event location
Palermo - Online
Event date
Sep 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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