Researchers have published research detailing their development of an AI framework to detect defects in additively ...

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 ...

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

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 ...

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 / ...

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

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 ...

BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes before those flaws ever reach a finished cell, according to a peer-reviewed ...

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

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, ...