Advances in deep learning have transformed the field of infrastructure maintenance, particularly in the automated detection and characterisation of defects in sewer pipelines.

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...

Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory ...

Detection of “indeterministic” defect types such as cracks and/or scratches is quite challenging since such defects may have a variety of shapes, locations and severity. Deep learning, a subfield of ...

When it comes to non-destructive testing (NDT), choosing the right defect recognition software for manufacturing is critical.

The intelligence of machine vision defect detection not only serves as the ultimate tool ... industrial cameras and combining ...

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 ...

The world of manufacturing is driven by automation, efficiency and digitisation.  And now we have generative AI (GenAI) – a ...