System for an Acoustic Detection, Localization and Classification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00349856" target="_blank" >RIV/68407700:21230/21:00349856 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.21014/acta_imeko.v10i2.1041" target="_blank" >https://doi.org/10.21014/acta_imeko.v10i2.1041</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21014/acta_imeko.v10i2.1041" target="_blank" >10.21014/acta_imeko.v10i2.1041</a>

Result language

angličtina

Original language name

System for an Acoustic Detection, Localization and Classification

Original language description

At present, acoustic detection techniques of gunshots (gunshot detection and its classification) are increasingly being used not only for military applications but also for civilian purposes. Detection, localization, and classification of a dangerous event such as gunshots employing acoustic detection is a perspective alternative to visual detection, which is commonly used. In certain situations, to detect and localize a source of a gunshot, an automatic acoustic detection system, which can classify the caliber, may be preferable. This paper presents a system for acoustic detection, which can detect, localize and classify acoustic events such as gunshots. The system has been tested in open and closed shooting ranges and 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. Localization and classification algorithms are also introduced. 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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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

—

Continuities

R - Projekt Ramcoveho programu EK

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

ACTA IMEKO

ISSN

2221-870X

e-ISSN

2221-870X

Volume of the periodical

10

Issue of the periodical within the volume

2

Country of publishing house

BE - BELGIUM

Number of pages

8

Pages from-to

62-69

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85109493994