AI & Data Science in Industry

In the field of Industry we mainly work on:

• Automation of processes

• Data analysis for sustainable chains

• Products-as-service

• Smart maintenance

• Digital platforms

We do this, especially in (high-tech) manufacturing, horticulture and energy transition. Our aim is to help companies make business models and business processes more sustainable. With the focus on growing staff shortages, we want to help companies do better work with less staff.

Some examples

We build advanced automation prototypes for industry. For greenhouse growers, we investigate contactless ways to measure crops with sensors and light technology such as optics and photonics. We work with SMEs on Transferable Smart Industry Templates: we want to realise a digital and smart production process via templates. In such a way that developed methods, snippets, modules, applications, etc. can also work at other companies with products in small series. We test bearings for short and long periods under different operating conditions. The tests provide a better understanding of bearing behaviour, with the aim of generating big data to validate algorithms for predictive maintenance modelling.

Do you want to work on topics like these or have other industry-related AI questions? Check out our research groups, how to collaborate or contact us directly.

At THUAS the research groups Data Science, Photonics, Smart Sensor Systems and Technology for Health are working on AI and Data Science in health and healthcare.