title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð»Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼Ð°Ð¼Ð¸ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð´Ð¾ÑÑÑÐ¿Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Research of face recognition methods by access control systems
Creators: name: ÐÐ½ÑÑÐºÐ¾Ð²Ð°, ÐÐ°ÑÐ²Ð°ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
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description: Topic of the final qualification work: "Research of face recognition methods by access control systems". The aim of the work is to improve face recognition using convolutional neural networks by selecting the optimal parameters. The subject of the research is the modern method of face recognition and its parameters. Tasks to be solved in the course of the study: Review current face recognition methods. Choose the most effective method for further research. Develop a software prototype based on a convolutional neural network. Test the developed prototype with different parameters of the neural network. Analyze the results.In this paper, a study is made of the main currently existing recognition methods used in various industries. And also, a software implementation of one of the most common methods, selected on the basis of theoretical analysis, is being carried out. As a result of the work, a software prototype of a system that provides face recognition was developed and its effectiveness in changing network parameters was demonstrated. The results obtained can be used as a basis for further development of face recognition.