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arXiv · 2307.13105

Framework for Automatic PCB Marking Detection and Recognition for Hardware Assurance

Olivia P. Dizon-Paradis·Daniel E. Capecci·Nathan T. Jessurun·Damon L. Woodard·Mark M. Tehranipoor·Navid Asadizanjani
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Abstract

A Bill of Materials (BoM) is a list of all components on a printed circuit board (PCB). Since BoMs are useful for hardware assurance, automatic BoM extraction (AutoBoM) is of great interest to the government and electronics industry. To achieve a high-accuracy AutoBoM process, domain knowledge of PCB text and logos must be utilized. In this study, we discuss the challenges associated with automatic PCB marking extraction and propose 1) a plan for collecting salient PCB marking data, and 2) a framework for incorporating this data for automatic PCB assurance. Given the proposed dataset plan and framework, subsequent future work, implications, and open research possibilities are detailed.

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Olivia P. Dizon-Paradis, Daniel E. Capecci, Nathan T. Jessurun, Damon L. Woodard, Mark M. Tehranipoor, Navid Asadizanjani. 2023-07-24. Framework for Automatic PCB Marking Detection and Recognition for Hardware Assurance. https://arxiv.org/abs/2307.13105

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