Autor: |
Kosukhina OI; Russian University of Medicine, Moscow, Russia.; Russian Customs Academy, Moscow, Russia., Kareva YP; Russian University of Medicine, Moscow, Russia.; th Main State Centre for Forensic Medical and Criminalistic Expertise, Moscow, Russia., Leonov SV; Russian University of Medicine, Moscow, Russia.; th Main State Centre for Forensic Medical and Criminalistic Expertise, Moscow, Russia., Leonova EN; I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia., Selyanina KP; I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia., Pigolkin YI; I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia. |
Abstrakt: |
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. |