Space Associates, Inc., a provider of advanced metrology and inspection solutions, announced new machine learning capabilities for its kSA Glass Breakage & Defect Detection tool. The enhancement adds ...
This project implements an automated system for classifying surface defects on hot-rolled steel strips using the Northeastern University (NEU) Surface Defect Database. A multi-modal feature extraction ...
A desktop application and deep learning pipeline for classifying semiconductor wafer defects from grayscale microscopy images. Built for the Intel Semiconductor Solutions Challenge 2026, this system ...
Abstract: Fabric defect classification is crucial in textile quality inspection, enabling category-specific defect handling. Although dozens of defect categories have been defined, annotation ...
Abstract: Small surface defects in automotive manufacturing, such as micro-cracks, springbacks, and minor deformations, typically appear in highly curved or reflective regions of large and complex ...
Extract semantic information via classification Defect type based on what is the nature of the change required to correct the defect A measurement system’s characteristics: ...
A technical paper titled “SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering” was published (preprint) by researchers at imec, University of Ulsan, and KU ...
The nose occupies the most prominent part of the face. It consists of several subunits, with the nasal alar being the most distinct and delicate. Alongside other subunits, the nasal alar contributes ...
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