Physical AI in manufacturing: How computer vision, robotics and edge automation are moving into the real world

Physical AI is taking artificial intelligence beyond software and into factories, hospitals and other real-world environments ...
BIOENGINEER

New Algorithm Spots Tiny Fabric Defects by Separating Them from Tricky Textures

Researchers in China have developed an unsupervised tensor decomposition algorithm that detects subtle, low-contrast fabric ...
Forbes

What To Know About Implementing Computer Vision For Quality Control

In 2022, the dominating segment for computer vision (CV) was quality assurance and inspection because of the rapid adoption of process automation in the manufacturing industry. One of the key benefits ...
Semiconductor Engineering

Refining Vision-Language Models For Lithography Defect Detection

“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...
BIOENGINEER

Lightweight AI Sees Through Murky Water to Spot Defects in Underground Drainage Pipelines

MSAA, a lightweight AI system that uses adaptive attention and sonar imaging to detect defects in flooded underground ...

MEA Computer Vision in Paints & Coatings Market Shifts From Hardware Sales to Deployment Scale

Ken Research Maps the New Economics of MEA Computer Vision in Paints & CoatingsThe MEA computer vision in paints & coatings market is moving from a niche inspection layer toward a broader ...
Woodworking Network

Muskoka Cabinet test drives real-time edgebanding defect detection system

The system, developed by Panevo, a Canadian clear technology and manufacturing analytics company, reportedly achieved approximately 97% detection reliability with minimal false positives of Muskoka’s ...