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

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Date

2023

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Publisher

Institute of Electrical and Electronics Engineers Inc.

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info:eu-repo/semantics/closedAccess

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. © 2023 IEEE.

Description

Cadence; et al.; EuroPractice; SiliconGate; Synopsys; Teledyne Lecroy
19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design, SMACD 2023 -- 3 July 2023 through 5 July 2023 -- Funchal -- 191285

Keywords

Ai, Circuit, Eda, Netlist, Simulation, Computer Aided Design, Electric Network Analysis, Cad Tool, Circuit Components, Design-Process, Eda, Generation Process, Human Errors, Image Format, Netlist, Simulation, User Independents, Timing Circuits

Journal or Series

Proceedings - 2023 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design, SMACD 2023

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N/A

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