Gi-Yul Cho

Comparative Analysis of CNN GAN Models for Defect Detection of BLDC Motors Under Low Data Conditions

This study proposes a generative adversarial networks (GAN)-based data augmentation framework to address the class imbalance and lack of defect data encountered in smart factory vision inspection systems and provides a comparative analysis of various GAN models. Using brushless d...