title: Ð¡Ð¸ÑÑÐµÐ¼Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð´Ð»Ñ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ¾Ð² ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð´Ð¾ÑÑÑÐ¿Ð°
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: Object recognition system for access control systems
Creators: name: Ð¦ÑÐ¹ ÐÑÐ½ÑÑ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: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ·ÑÐºÐ¸
Ð Ð°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²
Ð²ÑÑÑÐ¾ÐµÐ½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
embedded systems

description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð´Ð»Ñ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ¾Ð² ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð´Ð¾ÑÑÑÐ¿Ð°. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð´Ð»Ñ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ¾Ð² ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð´Ð¾ÑÑÑÐ¿Ð°. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¾Ð±Ð¾Ð±ÑÐµÐ½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¸, Ð²ÑÐ»ÐµÐ´ÑÑÐ²Ð¸Ðµ ÑÐµÐ³Ð¾ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ñ Ð½Ð¾Ð²ÑÐµ Ð¸Ð´ÐµÐ¸ Ð¸ Ð¿Ð¾Ð´ÑÐ¾Ð´Ñ Ðº ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¸ Ð´Ð»Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð´Ð¾ÑÑÑÐ¿Ð°. ÐÐ»Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½ÑÑ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð¾ Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¾ ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾-Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ Ð´Ð»Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹ Ð¸ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð² ÑÐ¸ÑÑÐµÐ¼Ð°Ñ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð´Ð¾ÑÑÑÐ¿Ð° Ð½Ð° ÑÐ·ÑÐºÐµ Python Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÑ ÑÑÐµÐ´ÑÑÐ² Ð¸ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐº ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð´Ð²ÑÑÐºÐ»Ð°ÑÑÐ¾Ð²Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ 95,5%. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð½Ð° ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÑÑÑÐ¾Ð¹ÑÑÐ²Ð°Ñ. ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐµ Ð¸ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐ²ÐµÐ»Ð¸ÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ¸ÑÑÐµÐ¼Ñ.
description: Object of study is an object recognition system for access control systems. The aim is to develop an object recognition system for access control systems. The work summarizes the methods for recognizing objects in an image, as a result of which new ideas and approaches are proposed for solving the problem of recognizing objects in an image for use in access control systems. To implement the proposed approaches, specialized software and mathematical software was developed and applied to carry out research and solve object recognition problems in access control systems in the Python language using software tools and libraries of computer vision and machine learning. A two-class object recognition system with an accuracy of 95.5% has been developed. The developed system was tested on various devices. Software and hardware methods for increasing system performance are proposed.