Classification of incorrectly picked components using Convolutional Neural Networks
Printed circuit boards used in most ordinary electrical devices are usually equipped through an assembly line. Pick and place machines as part of those lines require accurate detection of incorrectly picked components, and this is commonly performed via image analysis. The goal of this project is to...
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| Format: | Others |
| Language: | English |
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KTH, Robotik, perception och lärande, RPL
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230732 |