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Kosukhina O.I.

Russian University of Medicine;
Russian Customs Academy

Kareva Yu.P.

Russian University of Medicine;
th Main State Centre for Forensic Medical and Criminalistic Expertise

Leonov S.V.

Russian University of Medicine;
th Main State Centre for Forensic Medical and Criminalistic Expertise

Leonova E.N.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Selyanina K.P.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Pigolkin Yu.I.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Modern opportunities of using computer programs and mobile devices in the frame of personality identification

Authors:

Kosukhina O.I., Kareva Yu.P., Leonov S.V., Leonova E.N., Selyanina K.P., Pigolkin Yu.I.

More about the authors

Journal: Forensic Medical Expertise. 2024;67(4): 27‑30

DOI: 10.17116/sudmed20246704127

Read: 906 times

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Table of contents

MODERN OPPORTUNITIES OF USING COMPUTER PROGRAMS AND MOBILE DEVICES IN THE FRAME OF PERSONALITY IDENTIFICATION
MODERN OPPORTUNITIES OF USING COMPUTER PROGRAMS AND MOBILE DEVICES IN THE FRAME OF PERSONALITY IDENTIFICATION

To cite this article:

Kosukhina OI, Kareva YuP, Leonov SV, Leonova EN, Selyanina KP, Pigolkin YuI. Modern opportunities of using computer programs and mobile devices in the frame of personality identification. Forensic Medical Expertise. 2024;67(4):27‑30. (In Russ.)
https://doi.org/10.17116/sudmed20246704127

Подписка 2026 Судебно-медицинская экспертиза (Forensic Medical Expertise)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

A technology of mobile devices on the basis of Android and iOS sharing, in which previously trained neural networks on the mobile device with the use of the Skull-face program place the reference points in automatic mode with subsequent analysis of the images and obtaining the result in less than 1 min, has been developed. Data processing and acquisition of results immediately at the scene of an accident can provide invaluable assistance in the mass admission of unidentified corpses in cases of emergency; will allow to rapidly, excluding the influence of subjective factor, solve expert tasks, improve the accuracy, effectiveness and performance of forensic personality identification.

Keywords:

mobile phone
neural networks
forensic medicine
craniofacial identification

Authors:

Kosukhina O.I.

Russian University of Medicine;
Russian Customs Academy

Kareva Yu.P.

Russian University of Medicine;
th Main State Centre for Forensic Medical and Criminalistic Expertise

Leonov S.V.

Russian University of Medicine;
th Main State Centre for Forensic Medical and Criminalistic Expertise

Leonova E.N.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Selyanina K.P.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Pigolkin Yu.I.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Received:

27.02.2024

Accepted:

10.04.2024

Close metadata

References:

  1. Leonov SV, Shakiryanova YP, Avdeev AI, Kosukhina OI. Modern aspects of personality identifi cation in forensic medicine and criminalistics. Dalnevostochnyj medicinskij zhurnal. 2022;3:104-111. (In Russ.). https://doi.org/10.35177/1994-5191-2022-3-17
  2. Fomina EE, Zvyagin VN, Narina NV, Usacheva LL. A software package for marking and unified description of an individual’s face from a photo image. Programmnye produkty i sistemy. 2021;4:660-666. (In Russ.). https://doi.org/10.15827/0236-235X.136.660-666
  3. Zolotenkova GV, Gridina NV, Solodovnikov VI, Trufanov MI, Pigolkin YuI. Calculation of an individual’s biological age with the use of the latest information technologies and construction of a promising intellectual hardware and software complex. Forensic Medical Expertise. 2019;62(3):42-47. (In Russ.). https://doi.org/10.17116/sudmed20196203142
  4. Morozov IS, Kostyk IV, Vybornyj VG, Gurov AM. Kranio-portretnaya identifikatsiyalichnosti. Programmno-apparatnyj kompleks «Contour», Informatsionnoe pis’mo. Krasnogorsk: OOO «Krasnogorskij poligraficheskij kombinat»; 2015. (In Russ.).
  5. Thurzo A, Kosnáčová HS, Kurilová V, Kosmeľ S, Beňuš R, Moravanský N, Kováč P, Kuracinová KM, Palkovič M, Varga I. Use of Advanced Artificial Intelligence in Forensic Medicine. Forensic Anthropology and Clinical Anatomy. Healthcare. 2021:9:1545. https://doi.org/10.20944/preprints202111.0112.v1
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