SINA converts circuit schematic images to netlists at 96.67% accuracy using deep learning, OCR, connected-component labeling, and a vision-language model, claimed 2.72x better than prior methods.
FASCINET: A Fully Automated Single-Board Com- puter Generator Using Neural Networks,
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SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence
SINA converts circuit schematic images to netlists at 96.67% accuracy using deep learning, OCR, connected-component labeling, and a vision-language model, claimed 2.72x better than prior methods.