Some of the most powerful information around us moves quietly through walls, machines, and everyday spaces. Tiny variations in magnetic fields carry information about how systems behave, where we are, and what is...

Manufacturing processes are becoming more complex and technically demanding while the amount of human operators monitoring the processes are decreasing. This progression and efficiency pressure in manufacturing value...

In today's smart factories, cameras help robots and humans work together safely and efficiently. But privacy worries—especially with rules like GDPR—often mean this helpful video data goes unused. Workers feel watched,...

Satellite data is often associated with weather forecasts or spectacular images of Earth from space. In Cynergy4MIE, we are using it in a more practical way: to detect changes on the ground after an earthquake and turn...

The Problem: Fences Hold Factories Back In most factories today, robots work behind physical barriers — fences, cages, light curtains. The moment a person steps too close, the robot stops. It's safe, but it's also...

Would you trust a car that cannot explain its own decisions? Automated driving technologies are advancing rapidly. From adaptive cruise control to lane keeping assistance and the prospect of fully self-driving...

The Institute of Electrical Measurement and Sensor Systems of the Graz University of Technology is working on the development of a novel torque sensing idea within the SC3: Precise Measurements for Efficient, Reliable...

Author: Jonathan Hoss, THRO Industrial scheduling is transitioning from static methodologies to adaptive neural orchestration. By leveraging Reinforcement Learning to optimize the unique dynamics of specific...

The Cynergy4MIE project is an ambitious European initiative designed to transform the Mobility, Infrastructure and Energy (MIE) sectors through a unified and interoperable technology stack. By enabling smart software...