The inner circle classifies fiber sensors into ‘Macroscopical’ and ‘Microscopical’ according to the fiber dimension. The outer pie chart shows the classification according to the working principles.

Researchers at Empa have developed machine learning algorithms that reduce preliminary testing in laser-based metal additive manufacturing by about two-thirds without compromising quality. Using ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

Machine vision systems are serving increasingly crucial roles in life and business. They enable self-driving cars, make robots more versatile, and unlock new levels of reliability in manufacturing and ...

The field of industrial production is increasingly dependent on materials whose origins and behaviors are intricately tied to geological processes and ...

Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between batches of identical material. Empa researchers Giulio ...

A new evaluation platform streamlines inertial sensor design with AI-driven analytics, real-time visualisation, and automated ...

Sensors to detect temperature, pressure, and gases, such as CO 2, have been around for centuries. However, the latest devices can measure a growing list of substances and process the data in real-time ...