Sertdemir, A.E.Besenk, M.Dalyan, T.Gokdel, Y.D.Afacan, E.2024-07-182024-07-1820229781665467032https://doi.org/10.1109/SMACD55068.2022.9816254https://hdl.handle.net/11411/6435et al.;Infineon;INVENTVM;Power Integrations;STMicroeletronics;Synopsys18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design, SMACD 2022 -- 12 June 2022 through 15 June 2022 -- -- 180847This study proposes an Artificial Neural Network (ANN) based netlist generator: Img2Sim. The tool acquires an image of an electronic circuit, classifies the existing circuit elements, including active components (MOSFET, BJT, Op-Amp, etc.), with at least 98% accuracy, and decides the circuit topology and the connections with over 90% accuracy through a rule-based algorithm. Finally, it automatically yields a simulation-ready netlist for the circuit of concern. It is worth noting that some CAD tools have been developed before; however, they have mostly focused on recognizing the circuit elements only and, to our best knowledge, Img2Sim is the first CAD tool that creates the entire netlist for a given circuit in image format. © 2022 IEEE.eninfo:eu-repo/semantics/closedAccessArtificial IntelligenceCircuit SimulationComputer VisionImage ProcessingObject DetectionComputer Aided DesignComputer VisionNeural NetworksObject DetectionTiming CircuitsActive ComponentsAutomatic CircuitsCad ToolCircuit ElementsElectronics CircuitsImages ProcessingMosfetsNetlistNetwork-BasedObjects DetectionCircuit SimulationConference Object2-s2.0-8513473725410.1109/SMACD55068.2022.9816254N/A