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 ...
An attention-enhanced version of the YOLOv8s computer-vision model achieved a precision of 93.2%, an F1-score of 92.7% and a ...
Uncover the latest and most impactful research in Automated Weld Defect Detection Using Deep Learning. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the ...
At Fruit Attraction 2026, TOMRA Food will present its blueberry optical grader designed for one of the fastest-growing segments in the horticultural industry. "From infeed through to discharge, the ...
A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...
Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...
Automated optical inspection (AOI) is a cornerstone in semiconductor manufacturing, assembly and testing facilities, and as such, it plays a crucial role in yield management and process control.
What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...
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