Nanjing Ailong Automation Equipment Co., Ltd. recently announced that it has applied for a patent titled "Real-time Detection and Classification Method and System for Machine Vision Defects Based on ...

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...

Advances in deep learning have transformed the field of infrastructure maintenance, particularly in the automated detection and characterisation of defects in sewer pipelines. Leveraging large volumes ...

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

The TOMRA 4C is the first TOMRA machine to allow packers and processors to run multiple forms of artificial intelligence — ...

SPONSORED CONTENT - Machine learning and AI are now entering the field of textile technology and at this year’s ITMA Asia + ...

New research paper titled “Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning” by researchers at National Tsing Hua University. “With the rapid development of artificial ...

A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, wear, or malfunction.

TOMRA Food has unveiled its 4C optical sorting machine designed to increase detection, accuracy, performance, efficiency and ...

Hanwool Semiconductor, a company specializing in semiconductor and electronic component inspection equipment, announced on August 13 that it has been ...