Real-Time Gesture Recognition For Arduino-Based LED and Servometer Manipulation Using OpenCV and MediaPipe

This This project pioneers a real-time gesture recognition system for Arduino platforms using OpenCV and MediaPipe. Analyzing live video streams, the system interprets hand gestures to dynamically control LEDs and servomotors. Bridging the gap between users and technology, it provides an intuitive interface for hardware manipulation. Through computer vision, gesture recognition algorithms, and Arduino programming, the project advances interactive applications in augmented reality and robotics. The abstract encapsulates its essence, emphasizing real-time gesture recognition's focus and its application in seamlessly controlling LEDs and servomotors for Arduino-based systems, assisting with the evolving field of human-computer interaction.