Articles about SCADA, HMI and MES projects, deep learning enabling machine vision solutions, maintenance automation, IIoT, and more were Control Engineering’s five most clicked articles from Nov. 16-22, 2020. Miss something? You can catch up here.
A fiber-optic sensor that combines low-cost LEDs and dyes has been created by Cornell researchers, which results in a stretchable “skin” that detects deformations such as pressure, bending and strain.
Deep learning offers machine vision designers a powerful new tool for advanced inspection and it's getting easier to apply thanks to technology advances.
Albert Kao, CEO and co-founder of the company, offered some background about his company, i-5O, and their work with digital twins powered by computer vision systems.
Researchers are studying how plant-based inks can be used to print low-cost, biodegradable and recyclable sensors.
Articles about using human and artificial intelligence with digital twins, 2021 Engineers' Choice Finalists, automated anomaly detection maximizing production, and more were Control Engineering’s five most clicked articles from Oct. 12-18, 2020. Miss something? You can catch up here.
Adding multi-turn measurement capabilities to hollow-shaft encoders used to be challenging, but adding a Wiegand wire system makes it easier and expands usable applications, including robotics.
An international team of researchers have developed a method of printing sensors directly on human skin without the use of heat.
Researchers are working on a methane monitoring network to increase the safety of longwall mines, which could help other industries where hazardous gases are a major factor.
Machine vision and code readers verify packing label quality. As with many machine vision applications proper set-up and fixturing are needed in this packaging automation system integration project.