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 ...

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 ...

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

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

Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory manufacturing sites. However, when the manufacturing process changes due to ...

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

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

Structural defects that form during additive manufacturing, also known as 3D printing, are a barrier to some applications of this technology. Researchers used diagnostic tools and machine learning to ...