Semi-Supervised Domain Adaptation for Pick Classification in Pick and Place Machines
Pick and Place (PnP) machines collect and use large amounts of image data of Printed Circuit Board (PCB) components. The data is used to train automated image analysis methods to improve the decisions in the mounting process. Previous work with Neural Networks has shown promising results in the clas...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254977 |