The Hong Kong Polytechnic University (PolyU) recently developed an intelligent fabric defect detection system, called 'WiseEye', which leverages advanced technologies including Artificial ...

Ensemble deep learning for PV cell defect detection Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%.

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...