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 ...

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 ...

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 novel technology uses deep machine learning to make it much easier to identify defects in additively manufactured components.

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

By using accessible sensors (such as microphones and photodiodes), along with machine learning, they achieved over 90% accuracy with a temporal resolution of 0.1 milliseconds in detecting keyhole ...

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

The research report from Guoyuan Securities indicates that Opto's overall business revenue has achieved steady growth, with profitability also steadily improving. This is mainly attributed to the ...