VisionKey 🎯⌨️

✨ Overview

VisionKey is a computer vision-based virtual keyboard built with Python and OpenCV that lets you type using just your hand gestures — no physical keyboard required!

It uses real-time hand tracking to detect finger gestures and simulate key presses by interacting with a fully functional QWERTY keyboard rendered directly on the webcam feed.

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🎥 Features

• 🖐️ Gesture-based keypress using index–thumb pinch
• 🔍 Hand tracking via MediaPipe
• 🔡 Full QWERTY layout with numbers, punctuations, and symbols
• 🟩 Transparent key overlays with real-time visual feedback
• 🎯 Finger tip pointers for better accuracy
• 🔄 Works across Windows, macOS, and Linux

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🛠 Tech Stack

• 🐍 Python 3.7+
• 📸 OpenCV
• ✋ MediaPipe
• 🧰 cvzone

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📦 Installation

git clone https://github.com/ArchitJ6/VisionKey.git
cd VisionKey
pip install -r requirements.txt
python main.py

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✅ Requirements

• Webcam
• Python 3.7+
• A steady hand ✋🙂

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📂 Project Structure

VisionKey/
├── LICENSE
├── main.py               # Main script to launch the keyboard
├── README.md             # Project documentation
└── requirements.txt      # Python dependencies

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🧪 How It Works

1. Launch the script and allow camera access.
2. The virtual keyboard will appear centered in the camera feed.
3. Move your index finger to hover over a key.
4. Pinch your index finger and thumb together to "press" the key.
5. Typed text is shown in a preview window below the keyboard.

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🙌 Acknowledgements

• cvzone for high-level OpenCV utilities
• MediaPipe by Google for powerful hand tracking

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📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

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💡 Future Ideas

• Add Shift / CapsLock support
• Enable multi-language layout
• Integrate with text-to-speech
• Support swiping gestures for faster input