title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾-Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½Ð¾Ð³Ð¾ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ° Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð·Ð°ÑÑÐ´Ð½ÑÑ ÑÑÑÑÐ¾Ð¹ÑÑÐ² ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÐµÐ¹ Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¼Ð°Ð½Ð¸Ð¿ÑÐ»ÑÑÐ¸Ð¾Ð½Ð½ÑÐ¼ ÑÐ¾Ð±Ð¾ÑÐ¾Ð¼
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: The development of the software and hardware complex for classification of electric vehicles chargers and control of the robotic arm
Creators: name: ÐÐ»Ð°ÑÐµÐ½ÐºÐ¾, ÐÐ°ÑÐ°Ð»Ð¸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: 2022
Subjects: ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»Ñ
Ð¼Ð°Ð½Ð¸Ð¿ÑÐ»ÑÑÐ¸Ð¾Ð½Ð½ÑÐ¹ ÑÐ¾Ð±Ð¾Ñ
convolutional neural networks
computer vision
electric vehicle
manipulation robot

description: ÐÐ°ÐºÐ°Ð»Ð°Ð²ÑÑÐºÐ°Ñ Ð´Ð¸Ð¿Ð»Ð¾Ð¼Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐ¾Ð±Ð¾ÑÐ¾Ð¼ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹, Ð¿Ð¾Ð»ÑÑÐ°ÐµÐ¼ÑÑ Ñ ÐºÐ°Ð¼ÐµÑÑ Ð² ÑÐµÐ¶Ð¸Ð¼Ðµ ÑÐµÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÑ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ²ÐµÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ° Ð·Ð°ÑÑÐ´ÐºÐ¸ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÐµÐ¹. ÐÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÐµÑ ÐºÐ¾Ð¾ÑÐ´Ð¸Ð½Ð°ÑÑ Ð·Ð°ÑÑÐ´Ð½ÑÑ ÐºÐ¾Ð½Ð½ÐµÐºÑÐ¾ÑÐ¾Ð² Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÑÐµÑ Ð¸Ñ. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ ÑÐ´Ð°Ð»Ð¾ÑÑ Ð´Ð¾ÑÑÐ¸Ð³Ð½ÑÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ° ÑÐ°Ð²Ð½Ð¾Ð¹ 96.41% Ð¸ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐ°Ð²Ð½Ð¾Ð¹ 91.59% Ñ Ð¾Ð±ÑÐµÐ¼Ð¾Ð¼ Ð¾Ð±ÑÑÐ°ÑÑÐµÐ¹ Ð²ÑÐ±Ð¾ÑÐºÐ¸ Ð² 6000 Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹. Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ» ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½ Ð½Ð°Ð±Ð¾Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ ÑÑÐµÐ½Ð¸ÑÐ¾Ð²ÐºÐ¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÑÐµÑ ÑÐ¸Ð¿Ð¾Ð² Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ 3D-Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð·Ð°ÑÑÐ´Ð½ÑÑ ÐºÐ¾Ð½Ð½ÐµÐºÑÐ¾ÑÐ¾Ð² Ð½Ð° ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÐ¾Ð½Ð°Ñ, Ð¿ÑÐ¸Ð±Ð»Ð¸Ð¶ÐµÐ½Ð½ÑÑ Ðº ÑÐµÐ°Ð»ÑÐ½ÑÐ¼ ÑÑÐ»Ð¾Ð²Ð¸ÑÐ¼ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¾Ð±Ð¾ÑÐ¾Ð², Ð¾Ð±ÑÐ»ÑÐ¶Ð¸Ð²Ð°ÑÑÐ¸Ñ Ð·Ð°ÑÑÐ´Ð¾ÑÐ½ÑÐµ ÑÑÐ°Ð½ÑÐ¸Ð¸. ÐÑÐ¸Ð²ÐµÐ´ÐµÐ½ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¾ÑÐ¾Ð² Ð¸ Ð²ÑÐ±ÑÐ°Ð½ Ð½Ð°Ð¸Ð»ÑÑÑÐ¸Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÐºÐ¾Ð¾ÑÐ´Ð¸Ð½Ð°Ñ Ð·Ð°ÑÑÐ´Ð¾ÑÐ½ÑÑ ÐºÐ¾Ð½Ð½ÐµÐºÑÐ¾ÑÐ¾Ð².
description: The bachelor's thesis is devoted to the development of an automated robot control system based on images obtained from a camera in real time and processed using a convolutional neural network model to automate the charging process of electric vehicles. The neural network determines the coordinates of the charging connectors and classifies them. In the course of the work, was achieved an object's coordinates detection accuracy of 96.41% and classification accuracy of 91.59% with a training sample volume of 6000 images. A data set was also compiled for training a neural network based on three types of the most popular 3D models of charging connectors on various backgrounds, close to the real conditions of robots servicing charging stationsâ use. A comparative analysis of optimizers is given, and the best algorithm is selected to improve the accuracy of classification and determination of the coordinates of charging connectors.