Smart Brightness Control Using Hand Gestures

This project implements a smart brightness control system using Python and OpenCV. By utilizing hand gesture recognition, users can dynamically adjust their screen brightness in real-time without the need for physical buttons or keyboard shortcuts.

Features

• Real-time Hand Gesture Detection: Detects hand movements using a webcam.
• Brightness Adjustment: Adjusts the screen brightness based on hand gestures.
• User-Friendly Interface: Provides a smooth and interactive experience.
• Customizable Sensitivity: Fine-tune the system to respond better to specific gestures.

How It Works

1. Hand Detection:
   • The program uses OpenCV to detect the hand in the webcam feed.
   • The hand contour is tracked and key points are extracted (e.g., distance between fingers).
2. Gesture Recognition:
   • Specific gestures, such as opening or closing the hand, are used to adjust the brightness.
   • The brightness level is calculated based on the distance between the thumb and index finger.
3. Brightness Control:
   • The system interacts with the operating system to change screen brightness dynamically.

Installation

1. Prerequisites

Ensure you have the following installed:

• Python 3.7 or higher
• pip (Python package manager)
• OpenCV library

2. Clone the Repository

git clone https://github.com/hpishwe/Smart-screen-brightness.git
cd Smart-screen-brightness
    

3. Install Dependencies

pip install -r requirements.txt
    

2. Adjust Brightness

• Place your hand in front of the webcam.
• Use the distance between your thumb and index finger to increase or decrease brightness:
• Increase Brightness: Spread your fingers apart.
• Decrease Brightness: Bring your fingers closer.

Dependencies

This project uses the following libraries:

• OpenCV: For hand tracking and video feed processing.
• NumPy: For numerical operations on image arrays.
• pyautogui (optional): For system interaction (e.g., controlling brightness on supported platforms).

Troubleshooting

1. Brightness is not adjusting:
   • Ensure the system supports programmatic brightness adjustment.
   • Install pyautogui or similar libraries if needed.
2. Hand detection is inaccurate:
   • Improve lighting conditions and avoid background clutter.
   • Adjust the HSV range in the code to better suit your environment.
3. Script crashes:
   • Check if the camera is properly connected and accessible.

Future Improvements

• Add support for gesture-based volume control.
• Implement AI/ML models for more accurate hand gesture recognition.
• Enhance the GUI for a better user experience.
• Support brightness adjustment for external monitors.