PROP – where learning is made fun

Writing in air has become a significant research area in image processing and pattern recognition, contributing to automation and improving human-machine interfaces in various applications. Object tracking, a crucial task in Computer Vision, is increasingly popular due to faster computers, high-quality video cameras, and automated video analysis demands. This study provides a comparison of virtual air canvas using OpenCV and Mediapipe and air canvas application using OpenCV and Numpy in python. Further it dwells into usage of Augmented Reality for educational purposes and how if these two if are integrated together will revolutionize teaching and learning