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Artificial intelligence requires large quantities of data? Not necessarily, say scientists at Fraunhofer IPK. They use visual quality control for industrial goods to show how it can work.

Protective medical masks are an essential component for combating the pandemic. Their quality ought to be verified automatically and reliably.

Complaints regarding missing instruments in the operating room are a daily occurrence in hospitals. An AI-based system for automated completeness checks aims to avoid this.

Intelligent decision support systems can help prevent sudden major disruptions caused by absences.

A flexible robot system and an autonomous vehicle all in one: The Tend-O-Bot eliminates the need for rigid automation solutions in production. However, this can only be achieved with a change of perspective.

Big Data is considered the gold standard when it comes to AI. However, high-quality datasets lead to better insights than sheer amounts of data.

Each year, up to seven percent of all end-of-life parts are discarded instead of being reprocessed for remanufacturing. An AI-based decision support system aims to make the identification of end-of-life parts more robust and profitable.

Tend-O-Bot researches the use of mobile robots and intelligent software for autonomous machine tending.

An AI-based assistance system can make the identification of old parts more robust and profitable. This leads to more parts being repaired instead of new parts having to be produced. Using starters as a real-world calculation example from the automotive industry, let us show you the amount of emissions that can be saved as a result.

The first draft rarely is the final one in product development. With the help of artificial intelligence, this labor-intensive but essential stage can be accelerated.