Design and development augmented reality using OpenCV for primary education

Children are known to enter a developmental stage between the ages of three and five. It is during this time that they learn how to write letters by tracing them over and making connections between the dots in books. However, this method of involving kids isn't very successful. What if, instead of limiting children to paper and pencil, we allowed them to use the power of air itself to practice writing? Would that bring a magical element to learning? Would it allow children to begin their educational journey? What if education turns into a magical experience that captivates children and turns the ordinary into something fascinating? Computer vision (openCV) with augmented reality (AR).  Writing in air has become a evolving yet significant area of research in the field of image processing and pattern recognition. It has led to the development of various applications which have human machine interface. With high quality computers, video cameras and techniques for automatic video analysis, Object tracking has become the most sought out area in the domain of Computer Vision. This study focuses on comparing virtual air canvas built with OpenCV and mediapipe and virtual air canvas built using OpenCV and numpy.  Further into the paper, we shall present you our novel idea of integrating Augmented Reality with Computer vision and its impact on teaching and learning.