Platform analyzes trading cards across 47 inspection points in under 60 seconds with 92.8% accuracy We started ...

Built on eSmart Systems’ patent-pending Adaptive AI, the new platform lets utilities and technology companies build, deploy, and scale custom AI models in minutes - without machine learning expertise ...

Solidigm, a pioneer in enterprise data storage, today announced the launch of the Luceta TM AI Software Suite, a breakthrough ...

Abstract: Fabric defect detection plays a crucial role in modern textile manufacturing, as traditional manual inspection is inefficient and susceptible to subjective bias. Although convolutional ...

There's a fundamental shift in what's possible on the factory floor and it's being transformed by embedded AI, agentic ...

WILMINGTON, N.C. (WECT) - February is Heart Health Month and next week begins Congenital Heart Defect Awareness Month. Dr. Lance Lewis, a cardiologist with Novant Health, was in the studio to discuss ...

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 ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...

Sistema completo para identificar piezas metálicas BUENAS o MALAS a partir de un solo frame. La solución cubre desde la preparación del dataset hasta la entrega ...

Abstract: To ensure the quality of products, it is crucial to inspect and assess their condition in quality control. Among all of the methods, surface inspection is a critical step to identify ...