![]() Android, iOS, web, edge devices) multimodal (e.g. MediaPipe is a framework for building cross-platform (i.e. The most common applications of Digital Image Processing are object detection, Face Recognition, and people counter. OpenCV is used here for digital image processing while the MediaPipe is used for Hand Tracking. Here, we only need Raspberry Pi 4 and Pi camera module with OpenCV and MediaPipe installed on it. Components Required to Build a Gesture Controlled Media Player Up and Down Gestures are used to increase and Decrease Volume, and Left and Right gestures are used to fast Forward and reverse the video. Open and Close fist gestures are used to Play and Pause the video. Open & Close Fist and Up, Down, Left, and Right movement of the hand. Here we will use a total of six Hand Gestures, i.e. In this tutorial, we are going to use the MediaPipe Python library to detect our hand gestures and control the Raspberry Pi media player using that. In our previous tutorial, we trained a Hand Gesture recognition model to play Rock Paper and Scissors with Raspberry Pi using Tensorflow and Keras. Hand gesture recognition technology is becoming increasingly popular due to the recent growth and popularity of Virtual and Augmented Reality technologies. ![]()
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