Кваліфікаційні роботи здобувачів вищої освіти кафедри аерокосмічних систем управління

Permanent URI for this collectionhttp://er.nau.edu.ua/handle/NAU/45363

Browse

Browsing Кваліфікаційні роботи здобувачів вищої освіти кафедри аерокосмічних систем управління by Author "Gladchenko, Valery Hryhorovych"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Object Tracking System for Quadcopter
    (National Aviation University, 2024-06-13) Gladchenko, Valery Hryhorovych; Гладченко, Валерій Григорович
    In the 21st century quadcopters are gaining popularity every year and become an indispensable tool in various spheres of activity, from aerial photography, to search and rescue victims of various natural or man-made disasters. The system of recognizing and following objects is the key in such tasks. It also ensures the efficiency and autonomy of quadcopters. The relevance of the qualification work "Object tracking system for quadcopter" is due to the wide demand for systems of this type. Such systems can be used in agriculture to accompany the movement of livestock, in film production - to shoot dynamic scenes in open spaces, where the rental of a specialized helicopter is very costly, and in closed spaces, where a compact drone with a good camera is suitable. It can also be used in security and rescue operations, where timely detection of a person plays a crucial role. The object of study in this paper is the Tello programmable quadcopter from Ryze in collaboration with DJI. The object tracking system will be implemented on it. The aim of the qualification work is to develop an object tracking system for a quadcopter that will be able to recognize, classify and track various objects in real time, providing fast and accurate object tracking. In this work, it was decided to choose a human face as an example of a tracked object. In the process of work will be considered various methods and approaches in the field of computer vision, machine learning, as well as automatic control systems for the realization of the task. In order to achieve the set goal, the following tasks will be realized in the paper: 1. Analyzing the technical characteristics of the object of study; 2. Study of popular methods in the field of computer vision and automatic control theory; 3. Design and implementation of object detection and quadcopter control system; 4. Laboratory testing and analysis of results.