Comparison between standard and GAN-based data augmentation to improve chip pick classification
Pick-and-place machines are used to assemble printed circuit boards, but they sometimes fail to pick up components correctly. Images of the chips once picked up are classified by a neural network to determine whether the process was successful. However the number of images in the dataset with certai...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276671 |