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Detection of gunshot residue by flash-pulse and long-pulse infrared thermography

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23640%2F24%3A43972419" target="_blank" >RIV/49777513:23640/24:43972419 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.infrared.2024.105366" target="_blank" >https://doi.org/10.1016/j.infrared.2024.105366</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.infrared.2024.105366" target="_blank" >10.1016/j.infrared.2024.105366</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of gunshot residue by flash-pulse and long-pulse infrared thermography

  • Original language description

    Detection of gunshot residues (GSR) in a bullet hole area is one of the forensic investigations aiding in the reconstruction of crime scenes. Traditionally, chromogenic methods based on chemical exposure or microscopic/spectroscopic methods are used for this purpose. In this study, we explore the applicability of active excitation infrared thermography methods for GSR detection in the bullet hole area on fabric samples. A standard 9mm full metal jacket ammunition with a nickel-plated shell and natural cotton fabric samples were used for experiments in this study. The applicability of active thermography methods based on two different light/heat excitation sources to detect the GSR was investigated. Flash-pulse and long-pulse thermography were compared through an experimental investigation. We evaluated the effectiveness of various thermographic data processing methods, including background subtraction, temperature derivative analysis, Fourier transform phase analysis, principal component analysis, and higher-order statistics for GSR evaluation. Our findings demonstrate that flash-pulse thermography and kurtosis analysis yield the highest contrast-to-noise ratio (CNR) and produce sharp, clear images of GSR, making it the optimal method for thermographic GSR detection. Our study indicates that even though the GSR particles are tiny, they can produce sufficient contrast to be detected by the thermographic methods if appropriate experimental and post-processing procedures are used. Thus, these methods could complement GSR detection as they are non- destructive and offer rapid inspection.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10306 - Optics (including laser optics and quantum optics)

Result continuities

  • Project

    <a href="/en/project/VK01010037" target="_blank" >VK01010037: Methodology of fast non-contact and non-destructive detection of gunshot residue</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Infrared Physics &amp; Technology

  • ISSN

    1350-4495

  • e-ISSN

    1879-0275

  • Volume of the periodical

    140

  • Issue of the periodical within the volume

    AUG 2024

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    001250238800001

  • EID of the result in the Scopus database

    2-s2.0-85195099616