Project DetailsAugmented Reality App for Physics Classrooms, is a work that aims to create an android app that will allow to take a photo of a drawing of a physics system on a blackboard, to create a running simulation of the drawn system. This project uses deep learning tools, classic image processing algorithms and animation programming tools. It is based on previous projects in which a method was developed for detecting, classifying and localizing objects in an image, mapping them, and creating animation. In this project we focused on improving the object detection and recognition accuracy. In the first stage of the project, we built a synthetic image generator that simulates physics system drawn on a blackboard. With this generator, we have created a large image dataset which we used to train a deep neural network. Then, we investigated various novel deep models for object detection and recognition. Finally, we used our new module and other parts from previous projects, to obtain the desired animation.
