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 ...
BIOENGINEER

Systematic review finds no YOLO railway track inspection system ready for real-world deployment

A systematic review of 44 YOLO-based railway track defect detection studies finds that none demonstrates fully operational ...
Nature

Deep Learning Techniques for Surface Defect Detection articles from across Nature Portfolio

In the context of the assessment and validation of plasma-generated atomic oxygen (AO), within the framework of EU Horizon MOXY project, this study compared three non-invasive methodologies for the ...
BIOENGINEER

Deep Learning Model Reads Concrete Bridge Photos and Flags Multiple Defects at Once

A fine-tuned VGG16 network achieved 84.0 percent subset accuracy and an 85.2 percent micro-averaged F1-score on a held-out ...
Semiconductor Engineering

A Universal Deep Learning Model For Segmenting Automated Optical Inspection Images

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 ...
Semiconductor Engineering

Using Automatic Defect Classification To Reduce The Escape Rate Of Defects

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.
Automation World

Transforming Defect Detection and Root Cause Analysis with GenAI

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 ...