Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...

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

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 ...

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

WALTHAM, Mass.--(BUSINESS WIRE)--GelSight, a pioneer in tactile intelligence technology, today announced the release of its GelSight Mobile™ 3.5 software package, with new automated functionality and ...

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 ...

He helped in aligning business requirements with technical solutions, to address automation challenges collectively. This ...