Application of Deep-learning Method to Surface Anomaly Detection
In traditional industrial manufacturing, due to the limitations of science and technology, manual inspection methods are still used to detect product surface defects. This method is slow and inefficient due to manual limitations and backward technology. The aim of this thesis is to research whether...
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Format: | Others |
Language: | English |
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Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM)
2021
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105240 |