This work is an application that converts a drawing of an electrical circuit to a digital simulation tool.
The circuit can be drawn on different backgrounds: pen on paper, on a whiteboard, on a tablet, etc.
The circuit may contain many electrical components, and a text describing their values.
For the detection of the components and the text, and the directionality of the text, we use deep learning. For the detection of the connections between components, we use image processing methods, and graph algorithms. The work has an educational goal helping students in course such as Electrical Circuits and similar courses by easing the process of self-check of homework tasks. Moreover, the project has a secondary goal productivity improvement in prototyping and simulating circuits.