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 ...

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 ...

As advanced packaging pushes deeper into the sub-10µm realm, traditional inspection and metrology systems are being forced to evolve with it. Hybrid bonding, a critical enabler of vertical integration ...

In addition to surface and subsurface defects, residual stress represents a concern. Over time, these stress points, ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

Optical 3D metrology enables fast, non-contact surface roughness measurement of defects and roughness for precise ...

Flammable gas leaks continue to pose a real threat to workers and assets across the process industry. Gas and flame detection provide an early warning against this risk. But no single detection ...