Nature

Machine Vision Techniques for Defect Detection and Recognition

Machine vision for defect detection and recognition has evolved from classical image‐processing workflows—such as thresholding, edge detection and template matching—to sophisticated deep learning ...
Phys.org

Deep learning automates defect detection in 2D materials

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 ...
GitHub

Automated Machine Vision System for Packaging Label Alignment

Automated machine vision pipeline for defect detection on packaging lines. - Navinneshsaan/label-alignment-vision-system ...
BIOENGINEER

Machine Learning Framework Maps a Closed-Loop Path to Defect-Free Polymer 3D Printing

A new review of 75 studies proposes a unified data-driven framework linking polymer 3D printing defects, multi-sensor ...
Semiconductor Engineering

Can Your ATPG Do This? Cut Defects Escaping Detection With ML

Chipmakers worldwide consider Automatic Test Pattern Generation (ATPG) their go-to method for achieving high test coverage in production. ATPG generates test patterns designed to detect faults in the ...