• Bamandla Nikhileshwar
• Sunkari Sumanth
• Vankudoth Nikitha
• BH. Bhujanga Reddy

This article predominantly emphasizes on exploring the frontier of computer vision, our project delves into the intriguing realm of air-writing through advanced image processing and pattern recognition techniques. This endeavour holds profound implications for automating tasks and revolutionizing human-machine interactions across various domains. Researchers are exploring the field of writing in the air using image visualization and pattern cognizance to automate tasks and improve human interaction with machines. Object tracking is a central focus in Computer Vision, addressing four main challenges: object representation, tracking features, detecting objects, and tracking them. Object tracking algorithms are essential in real-world applications like surveillance, video organization, and navigation systems. This project aims to address this need by creating a system that translates gesticulates into paintings on a canvas using computer vision. This system will track finger movements to paint on a canvas, allowing users to create artwork or illustrations. This technology could offer a new way for people with limited mobility to express themselves creatively or for those seeking innovative artistic expression.

Interactive User Interface, Digital Art, Air drafting, Real-time process, Rapid gesticulates visualization, MediaPipe Hand Tracking, Digital Canvas module.

"Gesture Canvas: Real-Time Virtual Painting With Hand Gestures Using OpenCV And Numpy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.i697-i703, April-2024, Available :http://www.jetir.org/papers/JETIR2404893.pdf

"Gesture Canvas: Real-Time Virtual Painting With Hand Gestures Using OpenCV And Numpy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppi697-i703, April-2024, Available at : http://www.jetir.org/papers/JETIR2404893.pdf