Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, and supports sustainable manufacturing.

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory manufacturing sites. However, when the manufacturing process changes due to ...

Researchers built an AI system that adapts to process changes, maintaining defect detection accuracy and lowering retraining costs in smart factories. (Nanowerk News) Artificial intelligence is ...

SPRINGFIELD, Mass. (WWLP) – Western New England University has been awarded $500,000 through the Massachusetts AI Models Innovation Challenge to develop an artificial intelligence system that detects ...

As the semiconductor world excitingly explores the potential of new advanced package solutions for their intricate and novel designs, challenges arise from undetected defects caused by the complexity ...