title: Ð¡Ð¸ÑÑÐµÐ¼Ð° Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð»Ð¸ÑÐ° ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð² Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð¼Ð°ÑÐºÐµ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: A system for detecting and recognizing a person's face in a medical mask using machine learning
Creators: name: Ð¥Ð°Ð±Ð¸Ð±ÑÐ»Ð»Ð¸Ð½, ÐÑÐºÐ°Ð½Ð´ÐµÑ
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: ÑÐ²ÑÑÑÐ¾ÑÐ½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
ÑÐ²ÑÑÑÐºÐ°
ÑÑÐ½ÐºÑÐ¸Ñ Ð¿Ð¾ÑÐµÑÑ
dataset
convolutional neural network
convolution
loss function

description: Ð¢ÐµÐ¼Ð° ÑÐ°Ð±Ð¾ÑÑ: Â«Ð¡Ð¸ÑÑÐµÐ¼Ð° Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð»Ð¸ÑÐ° ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð² Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð¼Ð°ÑÐºÐµ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸ÑÂ».Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â ÑÑÐ¾ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÐ¾ÑÐ½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð»Ð¸ÑÐ° ÑÐµÐ»Ð¾Ð²ÐµÐºÐ° Ð² Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ Ð¼Ð°ÑÐºÐµ Ð¸ Ð±ÐµÐ·.Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ ÑÐµÑÐµÐ½Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸:ÐÐ½Ð°Ð»Ð¸Ð· Ð¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ Ð¼ÐµÐ¶Ð´Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐ¼Ð¸ ÑÐµÑÑÐ¼Ð¸, ÑÐ²ÑÐ·Ð°Ð½Ð½ÑÑ Ñ Ð´ÐµÑÐµÐºÑÐ¸ÐµÐ¹ Ð¾Ð±ÑÐµÐºÑÐ°, Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÐ²ÑÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸, ÐºÐ°Ðº Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿Ð¾Ð´ÑÐ¾Ð´ÑÑÐµÐ¹ Ð´Ð»Ñ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°.ÐÐ·ÑÑÐµÐ½Ð¸Ðµ ÑÑÑÑÐºÑÑÑÑ ÑÐ²ÑÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ MobileNetV2.ÐÐ¾ÑÑÑÐ¾ÐµÐ½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð»Ð¸Ñ Ð² Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¼Ð°ÑÐºÐ°Ñ Ð¸ Ð±ÐµÐ· Ð¼Ð°ÑÐ¾Ðº Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ²ÑÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ MobileNetV2.ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð¸ Ð²ÑÐ±Ð¾Ñ ÑÑÐ½ÐºÑÐ¸Ð¸ Ð¿Ð¾ÑÐµÑÑ Ð´Ð»Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð´Ð»Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸.ÐÐ±ÑÑÐµÐ½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð½Ð° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð´Ð°ÑÐ°ÑÐµÑÐ° Ð¸Ð· 1376 ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¹ Ð»Ð¸Ñ. ÐÐ½Ð°Ð»Ð¸Ð· Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¿Ð¾ÑÐ»Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸.Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ñ Ð¸Ð½ÑÐµÐ³ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð¾Ð±ÑÑÐµÐ½Ð½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÑÑ, Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð»Ð¸Ñ Ð² Ð¼Ð°ÑÐºÐ°Ñ Ð¸ Ð±ÐµÐ· Ð¼Ð°ÑÐ¾Ðº Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸.
description: The subject of the graduation work is Â«A system for detecting and recognizing a person's face in a medical mask using machine learningÂ».The point of work is to create the most accurate algorithm using a neural network for face recognition of a person in a medical mask and without.In the process of work the following objectives were solved:Analysis and comparison between neural networks associated with object detection, determination of a convolutional neural network as the most suitable for creating an algorithm.Studying the structure of the MobileNetV2 convolutional neural networkBuilding an algorithm for face recognition with and without medical masks based on the MobileNetV2 convolutional neural network.The study and selection of the loss function for the development of the program, as well as the implementation of the optimization algorithm for the neural network.Training a neural network using a dataset of 1376 face photographs. Analysis of the results obtained after training the model.Development of an algorithm with an integrated trained neural network for real-time face detection.