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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 ...
Tech Xplore on MSN
KAIST develops AI that automatically detects defects in smart factory manufacturing processes even when conditions change
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 ...
Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...
AZoRobotics on MSN
Self-Adapting AI for Smart Factory Defect Detection
KAIST researchers introduce TA4LS, an AI technology that adapts to manufacturing changes, improving defect detection accuracy by up to 9.42% without retraining.
AI machine vision-based aircraft surface inspections could be improved with new research from Singapore Management University (Image: Pixabay) Join 10,000+ vision professionals driving innovation in ...
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