title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
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: Application of neural network algorithms for solving problems of recognition and classification of objects
Creators: name: ÐÐ°ÑÑÐ°ÐºÐ¾Ð², ÐÐ°ÐºÑÐ¸Ð¼
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: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
machine learning
convolutional neural networks
image segmentation
object recognition
object classification

description: Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð² Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð´Ð»Ñ Ð·Ð°Ð´Ð°Ñ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð² ÑÑÐµÑÐ°Ñ ÑÐ¿ÑÑÐ½Ð¸ÐºÐ¾Ð²Ð¾Ð³Ð¾ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð° Ð¿ÑÐ¸ÑÐ¾Ð´Ð½ÑÑ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð¸ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð° Ð°Ð²ÑÐ¾ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ° Ð² Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ¾ÐºÐµ Ñ ÐºÐ°Ð¼ÐµÑ Ð²Ð¸Ð´ÐµÐ¾Ð½Ð°Ð±Ð»ÑÐ´ÐµÐ½Ð¸Ñ. ÐÑÐ»Ð¸ ÑÐµÑÐµÐ½Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸: Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐ¾ÑÐµÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»Ð°; Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ñ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐµÐ¹; Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½ ÑÑÐµÑ ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ñ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐµÐ¹; Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð° Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. ÐÐºÑÑÐ°Ð»ÑÐ½Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ Ð¾Ð±ÑÑÐ»Ð¾Ð²Ð»ÐµÐ½Ð° ÑÐµÐ¼, ÑÑÐ¾ Ð²ÑÑ Ð±Ð¾Ð»ÐµÐµ ÑÐ¸ÑÐ¾ÐºÐ¾Ðµ ÑÐ°ÑÐ¿ÑÐ¾ÑÑÑÐ°Ð½ÐµÐ½Ð¸Ðµ Ð·Ð° Ð¿Ð¾ÑÐ»ÐµÐ´Ð½Ð¸Ðµ Ð³Ð¾Ð´Ñ Ð¿Ð¾Ð»ÑÑÐ°ÑÑ ÑÐ²ÑÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð¿ÑÐ¸Ð¼ÐµÐ½ÑÑÑÑÑ, Ð½Ð°Ð¿ÑÐ¸Ð¼ÐµÑ, Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñ Ð¿Ð¾ Ð´ÐµÑÐµÐºÑÐ¸Ð¸ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð¸ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð² ÑÐ¾Ð¼ ÑÐ¸ÑÐ»Ðµ Ð² ÑÐ°Ð¼ÐºÐ°Ñ ÑÐ¸ÑÑÐ¾Ð²Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ð¹. ÐÐ±Ð»Ð°ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ ÑÐ¸ÑÐ¾ÐºÐ° Ð¸ Ð²ÐºÐ»ÑÑÐ°ÐµÑ Ð¼Ð½Ð¾Ð³Ð¸Ðµ Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½ÑÐµ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÑ. ÐÑÑÐ¾ÑÐ½Ð¸ÐºÐ°Ð¼Ð¸ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð²ÑÑÑÑÐ¿Ð¸Ð»Ð¸ Ð´Ð°Ð½Ð½ÑÐµ Ð¾ÑÐµÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¸ Ð·Ð°ÑÑÐ±ÐµÐ¶Ð½Ð¾Ð¹ Ð½Ð°ÑÑÐ½Ð¾-Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð¹ Ð»Ð¸ÑÐµÑÐ°ÑÑÑÑ, Ð¾ÑÐ¸ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÐÐ½ÑÐµÑÐ½ÐµÑ-ÑÐµÑÑÑÑÐ¾Ð² Ð¸ Ð¿ÑÐ¾ÐµÐºÑÐ½Ð°Ñ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ°ÑÐ¸Ñ. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐµÐºÑÑÐµÐ³Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ñ Ð¿ÑÐµÐ´Ð¼ÐµÑÐ½Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÐ¸, ÑÐµÐ°Ð»ÑÐ½ÑÑ Ð¿ÑÐ¾ÐµÐºÑÐ¾Ð², ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°ÑÑ ÑÑÐ¾Ð¶Ð¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸, Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð½Ð°ÑÐ°Ð±Ð¾ÑÐ¾Ðº ÑÑÐ¸Ñ Ð¿ÑÐ¾ÐµÐºÑÐ¾Ð² Ð² ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹, Ð° ÑÐ°ÐºÐ¶Ðµ Ð´Ð²Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸ Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ñ Ð·Ð°Ð´Ð°Ñ Ð¸ ÑÐ¾Ð¿ÑÑÑÑÐ²ÑÑÑÐµÐµ Ð¸Ð¼ ÐÐ Ð¸ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ°Ñ Ð¾ÑÐµÐ½ÐºÐ° ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¾ÐµÐºÑÐ¾Ð² Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÐºÐ°ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¸ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹.
description: The given work is devoted to studying and substantiating of the prospects for using convolutional neural networks for computer vision tasks in the fields of satellite monitoring of natural objects and vehicle monitoring in a video stream from CCTV cameras. The research set the following goals: analysis of theoretical material; analysis of technical features; accounting for technical features; an assessment of the effectiveness of the developed neural networks. The relevance of the work is due to the fact that convolutional neural networks have become more widespread in recent years, which are used, for example, to solve problems of object detection and image restoration, including as part of the digitalization of enterprises. The scope of neural networks is wide and includes many industrial complexes. The sources of information were the data of domestic and foreign research literature, official Internet resources and project documentation. The result of the work is a study of the current state of the subject area, real projects that solve similar problems, as well as the possibility of using the developments of these projects in the development of their own solutions, as well as two neural networks for solving the corresponding problems and related software and an economic assessment of the implementation of projects based on quality and quantitative indicators.