title: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´ÑÐ°Ð»ÑÐ½ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ ÑÐ¿Ð¾ÑÑÑÐ¼ÐµÐ½Ð¾Ð²
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: Information system for the analysis of individual indicators of athletes
Creators: name: Ð¨ÐºÐ°Ð»ÐµÐ², ÐÐ²Ð³ÐµÐ½Ð¸Ð¹
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: 2020
Subjects: Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¸
python
java
opencv
Ð²ÐµÐ±-ÑÐµÑÐ²Ð¸Ñ
Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð±Ð°ÑÑÐµÐ¹Ð½
Ð¿Ð»Ð¾Ð²ÐµÑ
faster rcnn
detection of objects in the image
web service
information system
neural networks
pool
swimmer

description: ÐÐ±ÑÐµÐºÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð²ÑÑÑÑÐ¿Ð°ÐµÑ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´ÑÐ°Ð»ÑÐ½ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ Ð¿Ð»Ð¾Ð²ÑÐ¾Ð² Ð² Ð±Ð°ÑÑÐµÐ¹Ð½Ðµ. Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¿Ð»Ð¾Ð²ÑÐ¾Ð² Ð² Ð±Ð°ÑÑÐµÐ¹Ð½Ðµ, Ð½ÐµÐ¿ÑÐµÑÑÐ²Ð½Ð¾Ð³Ð¾ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¸Ñ ÐºÐ¾Ð¾ÑÐ´Ð¸Ð½Ð°Ñ Ð¸ ÑÐºÐ¾ÑÐ¾ÑÑÑ, Ð¸ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¾Ð± Ð¸Ñ Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¸ Ð¸ ÑÐºÐ¾ÑÐ¾ÑÑÑ. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ: 1) Ð¾Ð±ÑÑÐµÐ½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¿Ð»Ð¾Ð²ÑÐ¾Ð² Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ, ÐºÐ¾ÑÐ¾ÑÐ°Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° ÐºÐ°Ðº Ð¼Ð¾Ð´ÐµÐ»Ñ ÑÐ²ÐµÑÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ¸ Pytorch Ð´Ð»Ñ ÑÐ·ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python; 2) RESTful ÑÐµÑÐ²Ð¸Ñ Ð½Ð° Python Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¿Ð»Ð¾Ð²ÑÐ¾Ð² Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¸; 3) RESTful ÑÐµÑÐ²Ð¸Ñ Ð´Ð»Ñ ÑÑÐµÐ½Ð¸Ñ Ð²Ð¸Ð´ÐµÐ¾ Ð¿Ð¾ÑÐ¾ÐºÐ°, Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð¿Ð»Ð¾Ð²ÑÐ¾Ð², ÑÐ¾ÑÑÐ°Ð½ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð² Ð±Ð°Ð·Ñ Ð¸ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð¿Ð»Ð¾Ð²ÑÐ¾Ð². ÐÐ¾ÑÐ¾ÑÑÐ¹ Ð½Ð°Ð¿Ð¸ÑÐ°Ð½ Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Java Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÑ Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ MongoDB. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿ Ð¼Ð¾Ð¶ÐµÑ ÑÐ°Ð·Ð²Ð¸Ð²Ð°ÑÑÑÑ Ð² ÑÐ»ÐµÐ´ÑÑÑÐ¸Ñ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸ÑÑ: 1) ÑÐ²ÐµÐ»Ð¸ÑÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐ¼Ð° Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ, Ð´Ð»Ñ ÑÐ²ÐµÐ»Ð¸ÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ; 2) Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸ÑÑÐµÐ¼Ñ ÐºÐ°Ð¼ÐµÑ, Ð´Ð»Ñ ÑÐ¾Ð³Ð¾ ÑÑÐ¾Ð±Ñ Ð±Ð¾Ð»ÐµÐµ ÑÐ¾ÑÐ½Ð¾ ÑÐ½Ð¸Ð¼Ð°ÑÑ ÑÐ°ÑÑÐ¸ Ð±Ð°ÑÑÐµÐ¹Ð½Ð°, Ð° Ð½Ðµ Ð²ÐµÑÑ ÑÐµÐ»Ð¸ÐºÐ¾Ð¼; 3) ÑÐ¾ÑÑÐ°Ð½ÐµÐ½Ð¸Ñ Ð²Ð¸Ð´ÐµÐ¾ Ð² Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ; 4) ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð° ÑÑÐ°Ð½ÑÐ»ÑÑÐ¸Ð¸ Ð¿Ð¾ÑÐ¾ÐºÐ¾Ð²Ð¾Ð³Ð¾ Ð²Ð¸Ð´ÐµÐ¾.
description: The object of research is the information system for the analysis of individual indicators of swimmers in the pool. The aim of the work is to create a prototype information system for detecting swimmers in the pool, continuously determining their coordinates and speed and visualizing data on their distance and speed. The results of the work are: 1)a trained model for detecting swimmers in images, which is implemented as a model of a highly accurate neural network using the Pytorch library for the Python programming language; 2)RESTful service in Python to detect swimmers in the image; 3)RESTful service for reading the video stream, analyzing the parameters of swimmers, saving data to the database and visualizing the parameters of swimmers. Which is written in the Java programming language and uses the MongoDB database. The developed prototype can develop in the following areas: 1)increase the amount of data for training the detection model, to increase the accuracy of detection; 2)the use of a camera system in order to more accurately shoot parts of the pool, and not the whole; 3) save video to database; 4) improving the streaming video.