A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

Abstract: The focus of this research is to use deep learning models to advance PCB (printed circuit board) panel defect detection in industrial manufacturing, in particular to evaluate and compare the ...

Abstract: The automation of defect detection in industrial manufacturing is essential for quality assurance, as well as reducing manual inspection costs. Traditional inspection approaches often have ...

This software is a research prototype, solely developed for and published as part of the publication MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot ...

In software testing, keeping the user interface consistent and error-free requires regular checks after every update. Teams ...

Researchers have published research detailing their development of an AI framework to detect defects in additively ...