In this project, we show how to control a robotic arm servo using real-time hand tracking powered by AI image processing. We use MediaPipe for fast hand detection, a web browser for processing camera input, and an IndusBoard Coin to translate hand movement into servo motion. The result is a simple but powerful human-machine interface that connects hand gestures directly to robot movement.
Key Features
- Real-time hand tracking using MediaPipe AI models
- Browser-based processing with no external software required
- Direct USB serial communication using the WebSerial API
- Servo motor control using PWM on the IndusBoard Coin
- Minimal hardware setup with easy scalability
- Touchless and intuitive human-machine interaction
Applications
- Gesture-controlled robotic arms
- Human-machine interfaces for industrial automation
- Touchless control systems for factories and labs
- Educational projects for AI, robotics, and image processing
- Research and prototyping for collaborative robots
- Training simulators and demo systems
This project demonstrates how AI image processing can simplify and humanize robot control. By combining browser-based hand tracking with a compact controller board, it opens up new possibilities for intuitive robotics without complex hardware. Whether you are building a prototype, teaching robotics, or exploring human-machine interfaces, this approach offers a practical and future-ready foundation to build on.