A Review on Interactive Air Canvas Application

Abstract

In today's dynamic landscape of human- computer interaction, there's a growing demand for interfaces that seamlessly merge the digital and physical realms. Traditional input methods like keyboards and mice, though reliable, fall short in meeting the expectations of users seeking more intuitive engagement with technology. The Air Canvas project, leveraging OpenCV and MediaPipe, addresses this need by creating an interactive drawing platform that monitors real- time hand movements. Users can paint in mid-air, translating hand gestures into vibrant strokes on a digital canvas. This work highlights the potential of computer vision and gesture recognition to bridge the gap between technology and art, offering immersive and creative applications. Writing, a fundamental form of communication, is explored through a motion-to-text converter for smart wearables. By tracking finger movements using computer vision, this system generates text for purposes like texting and emails, presenting a valuable communication tool, especially for the deaf community. Keywords— OpenCV, MediaPipe, Interfaces, Real-time hand movements, Gesture Recognition.