The process of printing defect detection usually suffers from challenges such as inaccurate defect extraction and localization, caused by uneven illumination and complex textures. Moreover, image ...

Taro production is predominantly manual, creating a need for automated defect detection in processing lines to improve efficiency and product quality. Traditional computer vision methods lack accuracy ...

Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...