Articles | Volume 22
https://doi.org/10.5194/ars-22-61-2024
https://doi.org/10.5194/ars-22-61-2024
29 Nov 2024
 | 29 Nov 2024

From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods

Dennis Hemker, Jad Maalouly, Harald Mathis, Rainer Klos, and Eranyan Ravanan

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Short summary
In electronic design development, schematics are used to depict electrical circuits and validate them before manufacturing. As such designs are often handed in as images (bitmaps) only, there is no way to easily process and check them in an automated way.
With the help of deep-learning methods, components, lines and text can be extracted from these bitmaps.
Fusing these detections, the electrical circuit can be reconstructed and serve as an input for further validation routines.