🖐️ Hand Gesture Volume Control

Control your system volume with Minority Report-style hand gestures! 🎚️✨

This project uses Computer Vision and AI to track your hand in real-time. simply pinch your fingers to adjust the volume. No mouse, no keyboard, just magic.

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🚀 Features

• Real-time Hand Tracking: Powered by Google's MediaPipe for lightning-fast detection.
• Intuitive Controls:
  • Pinch to Adjust: Distance between thumb and index finger controls volume.
  • Visual Feedback: Dynamic volume bars and percentage indicators.
  • FPS Counter: Monitor performance in real-time.
• Smoothed Audio: (Advanced Mode) Silky smooth volume transitions without jitter.
• Volume Lock: (Advanced Mode) Flex your pinky to lock the volume level! 🔒

🛠️ Prerequisites

• Python 3.7+
• A Webcam

📦 Installation

1. Clone the Magic:

   git clone https://github.com/Omkarkkale/Hand-gestures-Volume-control-using-Open-CV.git
   cd Hand-gestures-Volume-control-using-Open-CV

2. Install Dependencies:

   pip install -r requirements.txt

🎮 How to Use

1. The "Pro" Controller (Recommended)

This version includes the fancy visuals, smoothing, and volume locking.

python ADV_VOL_CTRL.py

• Adjust Volume: Pincher movement (Thumb ↔️ Index Finger).
• Lock Volume: Fold your Pinky Finger down. The interface color changes to Green! 🟢
• Unlock: Straighten your Pinky.

2. The "Basic" Controller

Simple, raw, effective.

python VolHandContol.py

🎥 Demo

Click the link below to watch the demo video:

▶️ Watch Demo Video

📸 Screenshots

🧠 How it Works

1. Capture: OpenCV grabs frames from your webcam.
2. Detect: MediaPipe identifies 21 hand landmarks.
3. Calculate: We measure the Euclidean distance between landmark 4 (Thumb Tip) and 8 (Index Tip).
4. Map: This distance is mapped to your system's volume range using NumPy.
5. Control: PyCaw interfaces with Windows Audio APIs to change the volume.

🤝 Contributing

Got an idea to make it cooler? Open an issue or submit a PR!

📜 License

Free to use for educational purposes!