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Fast SMDs Segmentation on PCB using CNN
- Authors
- 문영식
- Issue Date
- Jan-2018
- Publisher
- IEIE
- Citation
- International Conference on Green and Human Information Technology, pp.1 - 4
- Indexed
- OTHER
- Journal Title
- International Conference on Green and Human Information Technology
- Start Page
- 1
- End Page
- 4
- 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.
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Collections - COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles
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