title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¾ÑÐ´ÐµÐ»ÑÐ½Ð¾ ÑÑÐ¾ÑÑÐ¸Ñ 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° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Research of machine learning methods for determining free-standing objects
Creators: name: ÐÐ¸ÐºÐµÐ½ÑÑÐµÐ²Ð°, Ð¢Ð°ÑÑÑÐ½Ð°
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Ð°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
Ð¿Ð¾Ð¸ÑÐº Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¸
Ð¿Ð¾Ð¸ÑÐº Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð² Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ¾ÐºÐµ
object recognition
search for objects in the image
search for objects in the video stream

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: &lt;&lt;ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¾ÑÐ´ÐµÐ»ÑÐ½Ð¾ ÑÑÐ¾ÑÑÐ¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²&gt;&gt;. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ --- ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐµÐ´Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð½ÑÑ ÐºÐ»Ð°ÑÑÐ¾Ð² Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð² Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ¾ÐºÐµ. Ð ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÑ Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¸Ñ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ. ÐÐ»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð¾ Ð²ÑÐ±ÑÐ°Ð½Ð¾ Ð¾Ð³ÑÐ°Ð½Ð¸ÑÐµÐ½Ð½Ð¾Ðµ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ð¾ ÐºÐ»Ð°ÑÑÐ¾Ð² Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÑ. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼, ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°ÑÑÐ¸Ð¹ Ð²ÑÐ±ÑÐ°Ð½Ð½ÑÐµ ÐºÐ»Ð°ÑÑÑ Ð¾Ð±ÑÐµÐºÑÐ¾Ð². Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼, ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð½Ð° ÑÐ·ÑÐºÐµ Python Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² YOLOv5. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ ÑÐ°Ð±Ð¾ÑÑ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¿ÑÐ¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ðµ ÑÐ¾ÑÐ¾Ð³ÑÐ°ÑÐ¸Ð¹. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð° Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¾Ñ Ð¾ÑÐ²ÐµÑÐµÐ½Ð¸Ñ, Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐ³Ð»Ð¾Ð² Ð¿Ð¾Ð²Ð¾ÑÐ¾ÑÐ°, Ð¿ÑÐ¾ÑÐµÐ½ÑÐ° Ð¿ÐµÑÐµÐºÑÑÑÐ¸Ñ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ ÑÐ°Ð±Ð¾ÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¼Ð¾Ð¶ÐµÑ ÑÐ²Ð»ÑÑÑÑÑ ÑÐ¾ÑÑÐ°Ð²Ð½Ð¾Ð¹ ÑÐ°ÑÑÑÑ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¿Ð¾Ð»ÐµÑÐ° Ð´ÑÐ¾Ð½Ð°. ÐÐ°Ð¿ÑÐ¸Ð¼ÐµÑ, Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¼Ð¾Ð¶ÐµÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑÑÑ Ð´Ð»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÑÐ°ÐµÐºÑÐ¾ÑÐ¸Ð¸ Ð¸ ÑÐµÐ¶Ð¸Ð¼Ð° Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ð¿ÑÐ¸ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ð¸ Ð½Ð° Ð°Ð²ÑÐ¾Ð¿Ð¸Ð»Ð¾ÑÐµ.
description: The topic of the final qualifying work: &lt;&gt;. The purpose of the work is to develop an algorithm for recognizing predefined classes of objects in the drone video stream. In the course of the work, various methods of recognizing objects in images were considered and their comparison was carried out. A limited number of object classes in the images were selected for recognition. An algorithm has been developed that recognizes the selected classes of objects. The result of the work is an algorithm implemented in Python using a pre-trained YOLOv5 object detection model. A study of the quality and operating time of the implemented algorithm in the analysis of photographs was carried out. The dependence of recognition accuracy on lighting, changes in rotation angles, and the percentage of overlap is considered. The accuracy and operating time of the developed algorithm are compared. The developed recognition algorithm can be an integral part of a complex drone flight algorithm. For example, the algorithm can be used to determine the trajectory and mode of movement during autonomous movement.