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OPERATING PRINCIPLE OF FACE RECOGNITION SYSTEMS AND PECULIARITIES OF THEIR APPLICATION IN REAL TIME VIDEO STREAM PROCESSING

Lukyanchikov Oleg Igorevich  (Head of the CommuniGate Systems development group, Ph.D. Associate Professor of the KB-3 Department of RTU MIREA)

Trushin Maxim Mikhailovich  ((student) RTU MIREA )

Rusakov Alexey Mikhailovich  (Senior Lecturer, RTU MIREA)

Lukyanchikov Andrey Igorevich  (Leading Software Engineer of JSC "NPO Angstrom" Applicant of RTU MIREA )

Filatov Vyacheslav Valeryevich  ((Associate Professor) (RTU MIREA) )

Dolzhenkov Sergey Sergeevich  ((Assistant), (RTU MIREA))

This article discusses the use of human face recognition (identification) technology in real-time frame stream processing systems. In particular, the principles of functioning of face recognition systems are discussed, as well as various features that arise as a result of real-time image processing, and the problems arising from them. In addition, this paper presents several methods for increasing the speed of the face identification algorithm using the example of a recognition system used during video conferencing.

Keywords:face recognition, face identification, real time face recognition, computer vision.
 

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Citation link:
Lukyanchikov O. I., Trushin M. M., Rusakov A. M., Lukyanchikov A. I., Filatov V. V., Dolzhenkov S. S. OPERATING PRINCIPLE OF FACE RECOGNITION SYSTEMS AND PECULIARITIES OF THEIR APPLICATION IN REAL TIME VIDEO STREAM PROCESSING // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№05. -С. 76-83 DOI 10.37882/2223-2966.2023.05.18
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