Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation
Published in PRCV 2025, 2025
This paper presents an agentic pipeline for recognizing and generating electronic component symbols and footprints, and builds a scalable database to support automated PCB design workflows.
Recommended citation: Shi, Y., Liu, Y., Tao, Z., Huang, L., Gao, Y., Lin, T.-J., & He, L. (2025). Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation. In Pattern Recognition and Computer Vision (PRCV 2025, Part VII) (pp. 65-78). Springer. https://doi.org/10.1007/978-981-95-5676-2_5