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Abstract <p>The problem of video recording of the presence of a student during a lesson is considered. The statement of the problem of computer recognition and the functional diagram of the system are presented. Student faces are recognized in real time using a convolutional neural network of the VGGFace16 model. Its architecture is described at the parametric and functional levels. An experimental assessment of the influence of the main types of interference and the actual volume of video data, as determined by the number of students, on the quality of recognition has been carried out. The video monitoring system can be recommended to teachers of educational institutions.</p>

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Recording the Presence of Students in an Auditorium Using Facial Recognition in Video Stream Images

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • O. I. Fedyaev,
  • I. A. Kolomoitseva,
  • A. A. Sukhanov

摘要

Abstract

The problem of video recording of the presence of a student during a lesson is considered. The statement of the problem of computer recognition and the functional diagram of the system are presented. Student faces are recognized in real time using a convolutional neural network of the VGGFace16 model. Its architecture is described at the parametric and functional levels. An experimental assessment of the influence of the main types of interference and the actual volume of video data, as determined by the number of students, on the quality of recognition has been carried out. The video monitoring system can be recommended to teachers of educational institutions.