Fast SMDs Segmentation on PCB using CNN
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2025-04-01T10:02:04Z | - |
dc.date.available | 2025-04-01T10:02:04Z | - |
dc.date.issued | 2018-01 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/123280 | - |
dc.description.abstract | We 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.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Fast SMDs Segmentation on PCB using CNN | - |
dc.type | Conference | - |
dc.citation.title | International Conference on Green and Human Information Technology | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 4 | - |
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