Development of a Human Identification Software System in Real Time

Askar Boranbayev, Seilkhan Boranbayev, Mukhamedzhan Amirtaev, Malik Baimukhamedov, Askar Nurbekov

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The article is devoted to the recognition and identification of a person in real time from a video stream. The methodology for creating a software system and the results of its testing are described. To build a software system for real-time face recognition, various Open Face modules and tools of the Open CV library were used. The HOG method was used to detect a human face. Using the image coding method, 128 face measurements were obtained. A convolutional neural network is used to identify human faces using the SVM linear classifier algorithm.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
ISBN (Print)9783030821951
Publication statusPublished - 2022
Event Intelligent Systems Conference, IntelliSys 2021 - Virtual, Online
Duration: Sept 2 2021Sept 3 2021

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference Intelligent Systems Conference, IntelliSys 2021
CityVirtual, Online


  • Algorithm
  • Method
  • Neural network
  • Recognition
  • System

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications


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