Gesture Music Player

9000

MRP : ~~1000~~

Rewards Point: 90

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Product Name: Gesture Music Player
Version: 1.0
Platform: Python 3.x
Hardware Requirements:
- Camera Module (for capturing gestures)
- Raspberry Pi, PC, or similar computing device
- Speakers or headphones
Software Requirements:
- Python 3.x
- OpenCV library for image processing
- TensorFlow/Keras or PyTorch (for gesture recognition model)
- Numpy library
- Pygame (for audio playback)
- Flask (optional, for web interface)
Functional Requirements:
- Real-time gesture detection and recognition
- Control of music playback using gestures
- Display of current track information
- User-friendly interface for managing music library and gestures
Non-functional Requirements:
- High accuracy in gesture recognition
- Low latency in processing and music playback control
- Robustness and reliability in various lighting conditions
- Scalability for different types of gestures and music libraries

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Key Features:

Real-time Gesture Detection and Recognition:
- The system captures real-time video streams using a camera module.
- Hand gestures are detected and recognized using a pre-trained machine learning model.
Gesture-to-Music Control Mapping:
- Recognized gestures are mapped to corresponding music player controls (e.g., play, pause, next track, previous track, volume control).
- The system can be configured to support various gestures for different controls.
Music Playback:
- The system controls music playback based on recognized gestures.
- Music playback is handled using the Pygame library for audio playback.
Track Information Display:
- The system displays current track information (e.g., track name, artist) on a screen or through a web interface.
User Management:
- An administrative interface allows for managing gestures, music library, and playback settings.
- Users can add, modify, or delete gestures and manage their music library.