A real-time computer vision project that enables users to interact with their computer using hand gestures without physical contact. This system allows control of system functionalities such as volume, brightness, and media playback using Python, OpenCV, and MediaPipe.
- Control system volume using thumb + index finger distance
- Control screen brightness using thumb + middle finger distance
- Play / Pause media using fist gesture
- Next track control using victory gesture
- Touchless interaction using real-time hand tracking
- Smooth and stable gesture detection with locking system
- Low latency real-time performance
- Python
- OpenCV (Computer Vision)
- MediaPipe (Hand Tracking)
- Pycaw (System Audio Control)
- Screen Brightness Control Library
- PyAutoGUI (Keyboard Media Controls)
Clone the repository:
git clone https://github.com/SamanTarique/Media_Controll_through_Hand.git
cd Media_Controll_through_Hand- This project was developed using: Python 3.10
pip install opencv-python mediapipe pycaw screen-brightness-control pyautogui comtypesRun the project:
python project.pyMake sure:
- Webcam is connected
- Good lighting is available
- Hand is clearly visible to camera
Gesture Action:
- Fist ✊ --> Play / Pause media
- Victory ✌️ --> Next track
- Thumb + Index distance --> Volume control
- Thumb + Middle distance --> Brightness control
- Captures live video using OpenCV
- Detects hand landmarks using MediaPipe
- Calculates distances between specific fingers
- Maps gestures to system controls
- Executes system actions in real time
- Previous track gesture
- Mouse cursor control using hand tracking
- Scroll control (up/down gestures)
- Multi-hand support
- UI dashboard for controls
Developed by Saman Tarique