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Air Writing Recognition using Mediapipe and Opencv

Publication Type : Conference Paper

Publisher : Smart Innovation, Systems and Technologies

Source : Smart Innovation, Systems and Technologies

Url :

Campus : Bengaluru

School : Department of Computer Science and Engineering

Department : Computer Science and Engineering

Year : 2022

Abstract : Have you ever wished you could draw something just by waving your finger in the air? This can be accomplished in this day and age using a variety of technologies. This paper describes an application that uses the Python modules MediaPipe, Numpy, and OpenCV to write/draw geometrical shapes in real time over air in front of a camera. The proposed method accomplishes two goals: first, it recognizes the hand and the fingers from video frames, and then it monitors hand movements to create diverse designs. Furthermore, this technology allows for genuine Human-System interaction without the use of any form of character input device. The application is created in Python and tested in a variety of circumstances with variable illumination. This Software-based solution is relevantly basic, quick, and straightforward to use.

Cite this Research Publication : Nitin Kumar, R., M. Vaishnavi, K. R. Gayatri, V. Prashanthi, and M. Supriya. 2022. Air Writing Recognition using Mediapipe and Opencv. Smart Innovation, Systems and Technologies. Vol. 302. doi:10.1007/978-981-19-2541-2_35.

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