Surface defect detection in automotive manufacturing has evolved from manual visual inspection to highly automated systems that combine advanced imaging, robotics and artificial intelligence. Modern ...

On the technology spectrum, railroads would certainly seem to skew toward the brutally simplistic side of things. A couple of strips of steel, some wooden ties and gravel ballast to keep everything in ...

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

Researchers have developed a physics-based technique that accurately measures atomic-scale semiconductor defects, helping ...

Rising at an 11.30% CAGR, the market is fueled by gate-all-around architectures, EUV process challenges, and the shift from sampling to exhaustive inline inspection NEWARK, DE / ACCESS Newswire / ...

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

SEMVision™ H20 enables better and faster analysis of nanoscale defects in leading-edge chips Second-generation “cold field emission” technology provides high-resolution imaging AI image recognition ...

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, ...

The team developed an off-axis bright- and dark-field OCT system with a custom-designed high-precision objective lens. By ...

ATE is evolving from a pure defect-detection system to one that provides system-level validation supported by AI software ...

Ekoten Tekstil, a weft knit fabric manufacturer based near İzmir in Turkey, has implemented an artificial intelligence-driven ...