Abilities of Using MS-Unit Computer Vision Hardware and Software Complex Studying Forensic Objects
https://doi.org/10.30764/1819-2785-2024-1-57-66
Abstract
An urgent task for expert practice is to develop modern instrumentation and new quantitative methods of evaluation for objects of forensic ballistic examination, in particular, gunshot residues. The purpose of this work is to determine the capability of the MS-Unit computer vision hardware and software complex in quantitative assessment of the main and additional characteristics of a shot to solve the most frequently encountered problem - determining the distance of the shot. MS-Unit consists of an autonomous spectrozonal illuminator “Photobox 3138” with white light function with high color rendering index CRI= 97+, digital camera, computer, and a desktop app ImgOpinion. The authors have studied the functionality of ImgOpinion application when forming a “damage data sheet”. Based on the proposed algorithms for measuring colorimetric characteristics, the qualitative and quantitative characteristics of the close shot traces on test targets produced by shooting from a short-barreled firearms have been assessed. The presented software provides accurate mathematical calculation and analysis of the data on the soot deposition on targets, as well as an opportunity to illustrate the obtained results in the form of graphs and diagrams.
About the Authors
I. V. Latyshov
St. Petersburg University of the Ministry of Internal Affairs of Russia
Russian Federation
Russian Federation
Latyshov Igor Vladimirovich – Doctor of Law, Associate Professor, Professor of the Department of Forensic Examinations and Research,
St. Petersburg.
V. A. Vasil’iev
Volgograd Academy of the Ministry of Internal Affairs of Russia, Educational and Scientific Complex of Forensic Activities
Russian Federation
Russian Federation
Vasil’iev Vasilii Alekseevich – Candidate of Chemistry, Associate Professor, Associate Professor of the Department of Traceology and Ballistics,
Volgograd.
I. G. Pal’chikova
Design and Technology Institute of Scientific Instrumentation of the Siberian Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Pal’chikova Irina Georgievna – Doctor of Technical Sciences, Associate Professor, Head of the Laboratory of Computer Vision Systems,
Novosibirsk.
E. S. Smirnov
Design and Technology Institute of Scientific Instrumentation of the Siberian Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Smirnov Evgenii Sergeevich – Senior Researcher at the Laboratory of Computer Vision Systems,
Novosibirsk.
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Review
For citations:
Latyshov I.V., Vasil’iev V.A., Pal’chikova I.G., Smirnov E.S. Abilities of Using MS-Unit Computer Vision Hardware and Software Complex Studying Forensic Objects. Theory and Practice of Forensic Science. 2024;19(1):57-66. (In Russ.) https://doi.org/10.30764/1819-2785-2024-1-57-66
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