Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29252
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dc.contributor.authorMalin, B-
dc.contributor.authorKalganova, T-
dc.contributor.authorDanskins, J-
dc.contributor.authorGilchrist, JR-
dc.coverage.spatialHuntsville, AL, USA-
dc.date.accessioned2024-06-23T10:17:32Z-
dc.date.available2024-06-23T10:17:32Z-
dc.date.issued2022-10-25-
dc.identifierORCiD: Tatiana Kalganova https://orcid.org/0000-0003-4859-7152-
dc.identifier.citationMalin, B. et al. (2022) 'PCBA Image Analysis: A Comparison of Visible, Infrared & X-ray Wavelengths', 2022 IEEE Physical Assurance and Inspection of Electronics, PAINE 2022, Huntsville, AL, USA, 25-27 October, pp. 1 - 7. doi: 10.1109/PAINE56030.20.22.10014963en_US
dc.identifier.isbn979-8-3503-9909-7 (ebk)-
dc.identifier.issn979-8-3503-9910-3 (PoD)-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/29252-
dc.description.abstractIn the manufacture of printed circuit boards (PCB), various tests must be performed to ensure minimal defects are present in the final product. This is often done through visual inspection, using both X-rays as well as visible light, with X-rays often being superior due to the ability to capture internal features and defects. However, health and safety risks with X-rays lead to other, safer alternatives being desirable if they can provide comparable results. This work evaluates the visible differences between a range of near infrared (NIR) wavelengths using NIR hyperspectral imaging, as well as comparison to both X-ray and visible light images, to identify unique features that would benefit defect detection at each wavelength. Additionally, a small sample of NIR, visible light and X-ray PCBA images will be made public.en_US
dc.format.extent1 - 7-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2022 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://journals.ieeeauthorcenter.ieee.org/becomean-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/becomean-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.source2022 IEEE Physical Assurance and Inspection of Electronics (PAINE)-
dc.source2022 IEEE Physical Assurance and Inspection of Electronics (PAINE)-
dc.subjectdefect detectionen_US
dc.subjectinfrareden_US
dc.subjectX-rayen_US
dc.subjectPCBAen_US
dc.subjecthyperspectral imagingen_US
dc.subjectimage fusionen_US
dc.titlePCBA Image Analysis: A Comparison of Visible, Infrared & X-ray Wavelengthsen_US
dc.typeConference Paperen_US
dc.date.dateAccepted2022-08-08-
dc.identifier.doihttps://doi.org/10.1109/PAINE56030.2022.10014963-
dc.relation.isPartOf2022 IEEE Physical Assurance and Inspection of Electronics, PAINE 2022-
pubs.finish-date2022-10-27-
pubs.finish-date2022-10-27-
pubs.publication-statusPublished-
pubs.start-date2022-10-25-
pubs.start-date2022-10-25-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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