Development of Computer Vision-Based Movement Controlling in Mecanum Wheel Robotic Car

The purpose of this research paper is how to control the mecanum wheel robotic car to approach the target via wireless by using the computer vision. The mecanum wheel robotic car includes four mecanum wheels and the main microcontroller. This robotic car is controlled by the vision-based control system using the openCV through the wireless communication. The openCV is used for the pattern recognition which is a method of image processing. The openCV detects the robotic car and the target pattern to compare the location. After comparing the locations, the data is sent to the robotic car to go or stop. To send data from the openCV to the robotic car, Pyserial method is used before transmitting that data wirelessly. In such way, the location of the robotic car is detected continuously, and the data is sent to the robotic car to approach the target pattern.