Img2Sim-V2: A CAD Tool for User-Independent Simulation of Circuits in Image Format

Abstract

Composition of the simulation-ready representations of circuits may be laborius and also vulnerable to human-induced errors, which results in wasted effort before the design process. Artificial intelligence (AI)-aided approaches are used in various applications to minimize the human error, and automatize the Netlist generation process. In literature, presented studies are mostly focused on the recognition of circuit components. In the previous version of Img2Sim, both active and passive components can be detected with 90% accuracy while the netlist for a given circuit can be generated automatically. In this study, we propose Img2Sim-V2, which is an AI assisted mobile application that provides high detection accuracy for hand or computer-drawn electrical circuits, generates related circuit netlist and produces a circuit schematic. Additionally, proposed system performs basic electrical analyses (DC, AC, and Transient) through Python packages.