A high-performance C++ application that leverages OpenCV for real-time color detection and virtual drawing. Track physical objects in the air and turn your webcam into a digital canvas!
VirtualPaint is a computer vision project developed using C++ and the OpenCV library. It uses HSV (Hue, Saturation, Value) color space tracking to identify specific objects in a video feed and translate their movement into digital brushstrokes on the screen.
- Real-Time Tracking: Ultra-low latency tracking using optimized C++ backend.
- Multi-Color Support: Pre-configured to detect Purple, Green, and Orange markers.
- Dynamic Canvas: Draws continuous trails that follow the tip of your tracked object.
- Customizable: Easy-to-tweak HSV ranges for adding support for any custom color.
- Language: C++
- Framework: OpenCV 4.x
- Core Logic:
findColor(): Converts BGR frames to HSV and applies masks for target colors.getContours(): Identifies the largest object and locates its topmost point for precision drawing.drawOnCanvas(): Maintains a persistent vector of points to render the "paint" across frames.
- Visual Studio 2019 or newer.
- OpenCV 4.x installed and configured in your system environment.
- Clone the repository.
- Open
VirtualPaint.slnin Visual Studio. - Ensure your project properties are correctly pointing to your OpenCV
includeandlibdirectories. - Build and run in x64 Release mode for best performance.
This project is licensed under the MIT License. See the LICENSE file for details.
Maintained by: Rajjit Laishram
Created: October 2022
Updated: April 2026