Gesture based Messaging Display good accuracy

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Product Name: Gesture-Based Messaging Display
Version: 1.0
Platform: Python 3.x
Hardware Requirements:
- Camera Module (for capturing gestures)
- Raspberry Pi, PC, or similar computing device
- Display Screen (for showing messages)
Software Requirements:
- Python 3.x
- OpenCV library for image processing
- TensorFlow/Keras or PyTorch (for gesture recognition model)
- Numpy library
- Flask (optional, for web interface)
Functional Requirements:
- Real-time gesture detection and recognition
- Mapping of recognized gestures to predefined messages
- Display of messages on a screen based on recognized gestures
- User-friendly interface for managing gestures and messages
Non-functional Requirements:
- High accuracy in gesture recognition
- Low latency in processing and message display
- Robustness and reliability in various lighting conditions
- Scalability for different types of gestures and messages

Qty

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-Message Mapping:
- Recognized gestures are mapped to corresponding predefined messages.
- The system can be configured to support various gestures and messages.
Message Display:
- The system displays the mapped message on a screen in real-time.
- Messages can be displayed on a connected display screen or via a web interface.
User Management:
- An administrative interface allows for managing gestures and associated messages.
- Users can add, modify, or delete gestures and messages as needed.