Visual solution of electric circuits
Reference persons STEFANO GRIVET TALOCIA
Research Groups EMC Group (Electromagnetic Compatibility)
Description The objective of this thesis is the realization of a software package that takes on input an image representing an electric circuit drawing (including component data and a statement of the circuit problem to be solved), and produces on output the complete solution. The input image can be a picture, a scan of a textbook, or even a sketch generated by hand. Possible problem statements include the evaluation of voltages and currents under DC excitation, AC steady-state, symbolic (Laplace- or Fourier- domain) or transient.
Methodologies to be used and skills to be developed include:
- image processing and machine learning/pattern recognition, in order to recognize which circuit elements are included, what is the circuit topology.
- text recognition, in order to identify component names/values and problem statement (existing libraries for OCR will be investigated and used)
- circuit equation formulation using the Modified Nodal Analysis (MNA) framework and solution
- automated generation of a "clean" circuit schematic and problem solution
Required skills Predisposition for mathematical formulation of problems and algorithms. Programming in the Matlab environment. Knowledge of C/C++ programming language is desirable to use existing software libraries
Deadline 07/10/2020 PROPONI LA TUA CANDIDATURA