HAND GESTURE RECOGNITION TO AUDIO CONVERSION USING RASPBERRY PI AND OPENCV

The Hand Gesture Recognition to Audio Conversion System is designed to assist communication using gesture recognition. A camera captures hand gestures, and OpenCV-based image processing algorithms running on an SBC recognize the gestures. The recognized gestures are converted into corresponding audio output in real time. This enables effective interaction without speech. This project uses an SBC, camera module, OpenCV algorithms, audio modules, and embedded programming, making it suitable for assistive and human–machine interaction applications.