Virtual Canvas for Interactive Learning using OpenCV
Palak Rai, Reeya Gupta, Vinicia Dsouza, Dipti Jadhav · 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) · 2022
The purpose of this study is to discuss the usage of computer vision in educational applications. In recent years, air writing has become one of the most challenging and exciting research areas in image processing and pattern recognition. The project employs object tracking techniques to construct a motion-to-text converter that might be used as software in the field of education to allow students and teachers to write in the air. The project generates letters on the screen by utilizing computer vision to trace the path of a finger or an object. The resulting text can be utilized for a variety of things, including solving graph-related challenges. Questions on logical reasoning (Mathematics), to write formulas or execute derivations, Kindergarten kids are being taught the alphabet, to replace chalk and board (dustless classroom) in offline classes, etc. For the deaf, it will be a strong way of communication.