A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

The number of defects detected through inspection is exploding at each new process node. There are now millions of defects being identified on each wafer, but only a fraction of those can cause ...

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery ...

A breakthrough contactless inspection system developed at the University of New South Wales (UNSW) Sydney could soon become the new global standard in solar cell testing – cutting waste, doubling ...

What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

Researchers have resolved a long-standing debate surrounding laser additive manufacturing processes with a pioneering approach to defect detection. Researchers from EPFL have resolved a long-standing ...