proteanTecs’ Outlier Detection uses deep data analytics and ML to detect latent defects as early as Wafer Sort, achieving high fault detection accuracy by learning normal behavior with on-chip agents ...

Researchers have developed a machine learning model to identify defective products by detecting injection pressure during the ...

A single amino acid change in a neuronal ion channel called KCNQ2 blocks ion flow, prevents protein localization on axons, and results in severe epilepsy and slowed neurological development.

Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified, 3D Face Anti Spoofing, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face ...

Image classification project to detect defective products in manufacturing processes using deep learning. Helps automate quality control by classifying items as 'Defective' or 'Non-Defective'.

Abstract: Defect detection for non-standard industrial parts like micro induction motors has been important issue in industrial control systems. The constructional imperfections of armatures hold a ...

Abstract: In this paper, we develop a defect target detection algorithm based on image processing and feature matching to address background noise in the detection of defects in infrared images of ...

In this episode of the AM Radio podcast, Robots & Autonomy Editor Julia Hider joins Additive Manufacturing’s Executive Editor Stephanie Hendrixson and Editor-in-Chief Peter Zelinski to discuss how ...