Projects
Measurement of hairline cracks using deep learning
LCM uses deep learning to precisely detect and measure hairline cracks on steel strips, even with large amounts of data and artifacts.
Weather data acquisition for autonomous driving
With DisDAQ, the LCM has developed a mobile sensor system for the precise recording of weather data for testing autonomous vehicles.
Mobile modular measuring system
Our mobile modular measuring system DisDAQ enables flexible data acquisition for rapid analysis and long-term monitoring in industrial environments.
Optimized capacity planning in production with DisDAQ
DisDAQ enables flexible, mobile data collection in production halls to optimize capacity planning with a high proportion of manual work.
AGRI-DIGITAL GROWTH: Strengthening precision agriculture
AGRI-DIGITAL GROWTH strengthens SMEs with innovative solutions for precision agriculture.
Tailormade Functional Steel – Intelligent sheet steel
Discover how customized functional steels improve the properties of sheet steel and open up new application possibilities.
PixelTwins
PixelTwins The project “PixelTwin” aims to define small fragments of the Earth’s surface (“pixels”) as identifiable and addressable IoT objects….
MIDIH – Energy-efficient cement production
Within the MIDIH project (Manufacturing Industry Digital Innovation Hubs), manufacturing SMEs are supported with ICT services.
AWARD – All Weather Autonomous Real logistics operations and Demonstrations
The AWARD project is developing safe, autonomous transportation systems for freight transport in all weather conditions.
