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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • 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

  • 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