FPIC: A Novel Semantic Dataset for Optical PCB Assurance

• URL: http://arxiv.org/abs/2202.08414v1
• Date: Thu, 17 Feb 2022 02:29:58 GMT
• Title: FPIC: A Novel Semantic Dataset for Optical PCB Assurance
• Authors: Nathan Jessurun, Olivia P. Dizon-Paradis, Jacob Harrison, Shajib Ghosh, Mark M. Tehranipoor, Damon L. Woodard, Navid Asadizanjani
• Abstract summary: We review state-of-the-art automated optical inspection (AOI) techniques and observe the 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 propose the FICS Image Collection (FPIC) dataset to address this bottleneck in available large-volume, diverse, semantic annotations.
• Score: 7.027992770055891
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The continued outsourcing of printed circuit board (PCB) fabrication to overseas venues necessitates increased hardware assurance capabilities. Toward this end, several automated optical inspection (AOI) techniques have been proposed in the past exploring various aspects of PCB images acquired using digital cameras. In this work, we review state-of-the-art AOI techniques and observed the 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 propose the FICS PBC Image Collection (FPIC) dataset to address this bottleneck in available large-volume, diverse, semantic annotations. Additionally, this work covers the potential increase in hardware security capabilities and observed methodological distinctions highlighted during data collection.

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