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 ...

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 ...

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

Figure 1. Enertis Applus+ technicians performing terrestrial nighttime EL inspection on a PV plant (left), while an aerial night-time EL inspection is being conducted using a drone (right). Image: ...

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 ...

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 ...