Framework for Automatic PCB Marking Detection and Recognition for Hardware Assurance

Autor:	Dizon-Paradis, Olivia P., Capecci, Daniel E., Jessurun, Nathan T., Woodard, Damon L., Tehranipoor, Mark M., Asadizanjani, Navid
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: 5 pages, 3 figures, Government Microcircuit Applications & Critical Technology Conference (GOMACTech) 2021
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.13105 Zobrazit plný text záznamu View this record from Arxiv