Application of Computer Vision in Education in Mechatronic Control System

The use of computer vision in mechatronics is one of the most important and rapidly increasing fields of science and technology today. Modern mechatronics engineers must be familiar with these types of simple and inexpensive programmable control systems. The open-source control system designed in the Python Open CV library is described in this paper as a mechatronic educational prototype "ball and plate" with customizable configuration options. Positions for the educational prototype were constructed in 3D print techniques during the phases of computer-aided design, and an experimental manageable platform with camera feedback was exhibited. The purpose is to change the set point position in order to control the ball's position. Two-degrees-of-freedom mechatronic system with computer vision USB HD camera as feedback and DC servomotors as actuators. Using the Arduino platform and Python script-based open-source control system tools, you may change the color, PID controller parameters, and indirect control the movement of servomotors via PWM signals. This enables students to build and test position control algorithms for various round object forms and colors. Students can use the presented mechatronic platform to further their education by learning about the meaning of computer vision in mechatronics and the working principles of PID controller feedback.