Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled ...

BNSF Railway will dramatically increase its track inspection capabilities early next year with the systemwide deployment of ...

Accurate detection of heavy rail surface defects is crucial to both the economics and safety of railway transportation.

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 ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

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 ...