Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin ...

The AI factory revolution has arrived, but it looks different than the passive analytics of the past decade. The industry is ...

New compact platforms reduce cost, footprint and complexity of automated inspection for manufacturers entering Industry ...

The semiconductor industry is evolving with quantum imaging and AI-driven technologies, enhancing defect detection and ...

Industrial quality inspection plays a critical role in manufacturing, from ensuring the reliability of electronics and vehicles to preventing costly failures in aerospace and energy systems.

Abstract: A smart approach to surface defect detection utilizes machine learning algorithms and image processing techniques. The integration of discrete wavelet transform and the Otsu binary algorithm ...

Abstract: This research focuses on the automatic detection of road surface defects using deep learning methods applied to orthomosaic imagery. Aerial images were captured using a DJI Air 2S drone, ...