@inproceedings{5e75fd477f4840f2b9b55e1828028509,
title = "Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation",
abstract = "A rich and recognizable component library is the cornerstone of printed circuit board (PCB) design and generation. Traditionally, engineers manually create symbols and footprints and design PCB schematics, which is time-consuming and error-prone. Leveraging multimodal large language models (MLLMs), we develop SFgen, an agentic recognition and generation flow of symbol and footprint for electronic components. SFgen achieves 86\% accuracy for symbol generation and 80\% accuracy for footprint generation. We use the SFgen method to create SFnet, a database of symbols and footprints. It now has 1000 components and is expanding constantly, which lays the foundation for automatic generation of PCB designs.",
keywords = "Footprint, MLLM, PCB design, Symbol",
author = "Yichen Shi and Yuzhi Liu and Zhuofu Tao and Li Huang and Yuhao Gao and Lin, \{Ting Jung\} and Lei He",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 8th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2025 ; Conference date: 15-10-2025 Through 18-10-2025",
year = "2026",
doi = "10.1007/978-981-95-5676-2\_5",
language = "English",
isbn = "9789819556755",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "65--78",
editor = "Josef Kittler and Hongkai Xiong and Weiyao Lin and Jian Yang and Xilin Chen and Jiwen Lu and Jingyi Yu and Weishi Zheng",
booktitle = "Pattern Recognition and Computer Vision - 8th Chinese Conference, PRCV 2025, Proceedings",
address = "Germany",
}