An attention-enhanced version of the YOLOv8s computer-vision model achieved a precision of 93.2%, an F1-score of 92.7% and a ...
P2 detection branch to YOLOv11n raised tiny fabric defect detection mAP@0.5 by 5.8 percentage points on the Tianchi dataset ...
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 ...
Cross-process steel surface defect detection remains challenging because defect morphology, background texture, imaging conditions, and process-specific surface ...
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 ...
Manufacturing, a key component of global economies, is a complicated process that calls for precise quality control and intricate machinery. Product defect detection has traditionally been a ...
On the technology spectrum, railroads would certainly seem to skew toward the brutally simplistic side of things. A couple of strips of steel, some wooden ties and gravel ballast to keep everything in ...
Whether the discussion is about smart manufacturing or digital transformation, one of the biggest conversations in the semiconductor industry today centers on the tremendous amount of data fabs ...
AI Visual Inspection Textbook SeriesThis is Matsumoto from AdaCog.While operating AI visual inspection, the problems I am ...
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