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Servo Controller-OCR integrates computer vision, OCR, and Arduino to control a servo motor based on text detection from a webcam. It uses Python for real-time image processing and Tesseract OCR for text recognition, combined with Arduino to handle servo motor operations. Ideal for automation projects requiring text-based triggers.
A ROS 2 package that controls a servo motor via PWM signals and continuously rotates the servo smoothly between specified angles while publishing the angle values to a ROS 2 topic.
This project is a smart servo control system built with an Arduino Nano. It allows real-time control of a servo motor using both a graphical user interface (GUI) and a physical potentiometer. The system also includes two LEDs that can be toggled through the GUI, with all actions synchronized and acknowledged via serial communication. It's designed