Virtual Air Canvas Using OpenCV and Mediapipe
V RamachandraH, G Balaraju, K Deepika, Suman N.M., Steffi Rose Sebastian
Abstract
Recent developments in artificial intelligence have made it feasible to operate a digital environment by using human gestures. Gestures are often used as a kind of nonverbal cueing in the field of computer language instruction. Virtual Canvas is an application in which we can draw by capturing the gesture of hand and fingers through web camera. The techniques used in this project is OpenCV and Mediapipe under the category of Computer vision. The language used in this project is Python since it is easy to make use of the syntax and understanding the basics as well as it can be implemented in any OpenCV supported languages. The project works by monitoring to determine the landmarks of hand, then the id’s of finger tips are taken for modes like selection, drawing and clearing the canvas.