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Fast SMDs Segmentation on PCB using CNN

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dc.contributor.author문영식-
dc.date.accessioned2025-04-01T10:02:04Z-
dc.date.available2025-04-01T10:02:04Z-
dc.date.issued2018-01-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/123280-
dc.description.abstractWe propose a deep neural network for PCB inspection. Our network segments 36 types of SMDs from PCB images. We designed the network inspired by the Deeplab-largeFOV. We replace a part of Deeplab-largeFOV with a part of Alexnet to balance the accuracy and speed. Our network achieves 81.9%mIOU accuracy and 10.5FPS speed with a 1024×1024 size image. This is two times faster than the previous method.-
dc.language영어-
dc.language.isoENG-
dc.titleFast SMDs Segmentation on PCB using CNN-
dc.typeConference-
dc.citation.titleInternational Conference on Green and Human Information Technology-
dc.citation.startPage1-
dc.citation.endPage4-
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