Rozšíření funkcionality demonstračního modelu výšvihu inverzního kyvadla o ovládání pomocí gest s využitím řídicího systému REXYGEN

Abstract

In this bachelor thesis the extension of the functionality of the inverse pendulum, a demonstration model in the field of control and automation, is investigated. The inverse pendulum is used to balance the pendulum to a desired position and provides a useful model for investigating unstable mechanical systems. A gesture recognition method using a Raspberry Pi minicomputer and camera is used to extend the control capabilities of this model. Firstly, an introduction to the inverse pendulum model and the software model developed to test the new functionality is presented. A system is implemented to identify suitable gestures and evaluate them using machine learning methods. This solution is integrated into the existing software environment for inverse pendulum control. Finally, the results of the work are verified and documented using machine learning methods to evaluate the gestures.