Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...

As bulk logistics operations face tighter turnaround windows and zero tolerance for unexpected downtime, paper clipboards can ...

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 ...

Many smaller manufacturers assume they are already behind. But in truth, most of the industry is still early in the AI ...

In a landmark move to advance Vision-AI solutions in India and Japan, Calligo Technologies announced a strategic ...

The automaker is embedding AI across its value chain, from analysing 1.6 billion customer interactions and designing software-defined vehicles to improving factory efficiency, quality control and work ...

“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete. That sounds like a narrow research topic. It isn’t. Construction 3D ...

Abstract: Steel wire rope (SWR), as critical load-bearing components in engineering, require precise and real-time nondestructive testing of surface defects to ensure industrial safety. However, in ...