论文标题
FPIC：光学PCB保证的新型语义数据集
FPIC: A Novel Semantic Dataset for Optical PCB Assurance
论文作者
论文摘要
外包印刷电路板（PCB）制造需要增加硬件保证功能。已经提出了几种基于自动化光学检查（AOI）的保证技术，该技术利用使用数码相机获取的PCB图像。我们回顾了最先进的AOI技术，并观察到机器学习（ML）解决方案的强烈，快速的趋势。这些需要大量标记的地面真实数据，这在公开可用的PCB数据空间中缺乏。我们为FICS PCB图像收集（FPIC）数据集提供了贡献，以满足此需求。此外，我们概述了数据集启用的新硬件安全方法。
Outsourced printed circuit board (PCB) fabrication necessitates increased hardware assurance capabilities. Several assurance techniques based on automated optical inspection (AOI) have been proposed that leverage PCB images acquired using digital cameras. We review state-of-the-art AOI techniques and observe a strong, rapid trend toward machine learning (ML) solutions. These require significant amounts of labeled ground truth data, which is lacking in the publicly available PCB data space. We contribute the FICS PCB Image Collection (FPIC) dataset to address this need. Additionally, we outline new hardware security methodologies enabled by our data set.
