AeroSketch introduces a revolutionary way to create art and write digitally, leveraging cutting-edge technologies such as OpenCV and MediaPipe. Unleash your creativity using nothing but your hands and gestures. Utilizing advanced computer vision algorithms, AeroSketch detects intricate hand gestures in real-time, translating them into strokes and commands on a digital canvas. Whether you're sketching, writing notes, or painting, the experience is intuitive and responsive.
AeroSketch is a groundbreaking application designed for artists, students, and professionals who want to create and interact with digital content effortlessly. By recognizing hand gestures, it enables users to draw, paint, and write without the need for physical tools. This project integrates the power of OpenCV for computer vision and MediaPipe for hand-tracking, creating a seamless and interactive experience.
- Digital Art Creation: Artists can draw and paint using hand gestures, allowing for a more natural and expressive form of digital art.
- Note Taking: Students and professionals can write notes using gestures, enhancing the speed and convenience of digital note-taking.
- Interactive Presentations: Presenters can use gestures to draw and annotate during live presentations, making them more engaging and interactive.
- Educational Tools: Educators can develop interactive learning tools that respond to students' hand gestures, making learning more dynamic.
AeroSketch operates by capturing real-time video input from a camera, analyzing the hand gestures using OpenCV and MediaPipe, and translating these gestures into digital strokes on a canvas. The application supports various gesture-based commands, such as selecting colors, changing brush sizes, and undoing actions, all designed to make the digital creation process as fluid and intuitive as possible.
- Real-Time Hand Tracking: Utilizes MediaPipe for accurate and fast hand gesture detection.
- Gesture-Based Drawing: Draw and write using predefined gestures.
- Customizable Tools: Change colors, brush sizes, and other tools through gestures.
- Intuitive Interface: User-friendly interface designed for seamless interaction.
- OpenCV: For computer vision and image processing.
- MediaPipe: For hand-tracking and gesture recognition.
- JavaScript: Core programming language for interactivity.
- HTML5 Canvas: For rendering the drawing interface.
- CSS: For styling the user interface.
- Gesture Recognition Accuracy: Ensuring that the hand gestures are accurately recognized in various lighting conditions and backgrounds.
- Real-Time Processing: Maintaining smooth and responsive interaction without lag, especially on devices with limited processing power.
- User Interface Design: Designing an intuitive and user-friendly interface that can be easily navigated using gestures.
- Enhanced Gesture Set: Adding more complex gestures for advanced functionalities.
- Multicolor Support: Introducing gradient and multicolor brushes.
- Cross-Platform Compatibility: Extending support to mobile devices and tablets.
- Community Sharing: Allowing users to share their creations directly from the application.
- AI-Powered Enhancements: Integrating AI to predict and enhance user drawings for more professional outputs.
We welcome contributions to AeroSketch! If you have suggestions, bug reports, or improvements, feel free to create an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.
For any inquiries or support, please reach out to us at contact@aerosketch.com.
Happy Creating! 🎨✍️