title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÑÐ»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¹ Ð² ÑÐ¸ÑÑÐµÐ¼Ðµ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ ÑÐ¾ÑÐ¾Ð¿ÑÐ¾ÑÐ¾ÐºÐ¾Ð»Ð¾Ð²
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: Development of an automated photo processing module in the photo report support system
Creators: name: ÐÐ¹Ð´Ð°ÑÐ¾Ð², Ð ÐµÐ½Ð°Ñ
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: 2023
Subjects: ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Python
Pytorch
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¾ÑÐ¸ÐµÐ½ÑÐ¸ÑÐ¾Ð² Ð»Ð¸ÑÐ°
convolutional neural networks
deep learning
image classification
facial landmarks detection

description: Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ - ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ°, ÐºÐ¾ÑÐ¾ÑÑÐ¹ ÑÑÐ°Ð½Ð´Ð°ÑÑÐ¸Ð·Ð¸ÑÑÐµÑ Ð¿ÑÐ¾ÑÐµÑÑ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¹ Ð»Ð¸ÑÐ° Ð¸ Ð¾Ð±Ð»ÐµÐ³ÑÐ°ÐµÑ ÑÐ°Ð±Ð¾ÑÑ Ð¾ÑÑÐ¾Ð´Ð¾Ð½ÑÐ¾Ð². ÐÐµÑÐ¾Ð´Ð¾Ð»Ð¾Ð³Ð¸Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¾ÑÐ½Ð¾Ð²ÑÐ²Ð°ÐµÑÑÑ Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð ÑÐ°ÑÑÐ½Ð¾ÑÑÐ¸, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÐºÐ»ÑÑÐµÐ²ÑÑ ÑÐ¾ÑÐµÐº Ð»Ð¸ÑÐ°. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÑÐ°Ð»Ð° ÑÑÐ¿ÐµÑÐ½Ð°Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¼Ð¾Ð´ÑÐ»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¹. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð¼Ð¾Ð´ÑÐ»Ñ Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÑÐµÑ Ð´Ð¾ÑÑÐ°ÑÐ¾ÑÐ½Ð¾ Ð²ÑÑÐ¾ÐºÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¸ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ. ÐÐ±Ð»Ð°ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÑÐ»Ñ Ð¾ÑÐ²Ð°ÑÑÐ²Ð°ÐµÑ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ Ð´Ð»Ñ Ð¾ÑÑÐ¾Ð´Ð¾Ð½ÑÐ¾Ð². ÐÐ½ÐµÐ´ÑÐµÐ½Ð¸Ðµ ÑÑÐ¾Ð³Ð¾ Ð¼Ð¾Ð´ÑÐ»Ñ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ Ð·Ð½Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾ ÑÐ²ÐµÐ»Ð¸ÑÐ¸ÑÑ ÑÐºÐ¾ÑÐ¾ÑÑÑ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð»Ð¸ÑÐ° Ð¸ ÑÐ¿ÑÐ¾ÑÑÐ¸ÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ ÑÐ¾ÑÐ¾Ð¿ÑÐ¾ÑÐ¾ÐºÐ¾Ð»Ð¾Ð². Ð­ÑÐ¾, Ð² ÑÐ²Ð¾Ñ Ð¾ÑÐµÑÐµÐ´Ñ, ÑÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾ Ð¿Ð¾Ð²ÑÑÐ°ÐµÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ¾Ð² Ð¸ ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÑÐµÐ¼ÑÑ Ð¸Ð¼Ð¸ ÑÑÐ»ÑÐ³. Ð ÑÐµÐ»Ð¾Ð¼, ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð² ÑÐ°Ð¼ÐºÐ°Ñ Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð¼Ð¾Ð´ÑÐ»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¹ Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÑÐµÑ Ð²ÑÑÐ¾ÐºÑÑ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð¸ Ð¾Ð±Ð»Ð°Ð´Ð°ÐµÑ Ð·Ð½Ð°ÑÐ¸ÑÐµÐ»ÑÐ½ÑÐ¼ Ð¿Ð¾ÑÐµÐ½ÑÐ¸Ð°Ð»Ð¾Ð¼ Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ³Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¸ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ ÑÐ¾ÑÐ¾Ð¿ÑÐ¾ÑÐ¾ÐºÐ¾Ð»Ð¾Ð².
description: The purpose of the work is to develop an effective tool that standardizes the process of processing facial photographs and facilitates the work of orthodontists. The implementation methodology is based on machine learning methods. Deep learning algorithms were used for the task of classifying and detecting face key points. The result of the work is the successful implementation of the module for automated photo processing. The developed module demonstrates sufficiently high accuracy and efficiency. The scope of the developed module covers the application for orthodontists. The introduction of this module allows you to significantly increase the speed of face image processing and simplify the creation of photo reports. This, in turn, significantly increases the efficiency of the work of specialists and the quality of the services they provide. In general, the automated photo processing module developed as part of the final qualification work demonstrates high efficiency and has significant potential for further application and development in photo protocol support systems.