Abstract: Before building any electronics product or equipment it is well known that, the person building it will finalize the circuit after lot of simulation with simulation tools or relevant coding with electronics coding packages. One needs to be conversant with simulation tools for electronics or coding or both. It is not only complex, it is also time consuming. We have come up with an innovative and effective solution for the above said problem. Here, with our proposed solution, one can draw the circuit that is being thought of in a paper. The image can be fed into our product (application) which will generate net list for the drawn circuit. This will make the life easier and save a lot of time. One can test a lot of combinations of the components of the circuit without having necessity to spend time with simulation or coding. In the past, the inventions related to this area have identified only RLC components. We have enhanced the quality and results with identification of more components, using machine learning and image processing techniques. Usage of machine learning has not only fetched good results but also it increased the chances of identifying more components with ease and accuracy.
Shriram K. Vasudevan, Karthik Venkatachalam, S. Anandaram and Anish J. Menon, 2016. A Novel Method for Circuit Recognition Through Image Processing Techniques. Asian Journal of Information Technology, 15: 1146-1150.