Latest News

How are solutions created that combine artificial intelligence with industrial practice? In an interview with the trade magazine »möbelfertigung«, Michael Hettich from Hecht AG and our colleague Markus Rauhut, Head of the »Image Processing and Inspection Systems« Department, provide insights into the joint development of future-oriented approaches for quality control in the furniture industry.

The rapid progress of AI offers new opportunities for manufacturing companies. With the »KI4KMU-RLP« program, the state government of Rhineland-Palatinate is supporting companies in using AI methods to make their business processes more efficient. Companies can now apply for the pilot phase.

Dr. Petra Gospodnetić, who has been working in our »Image Processing« department since her internship during her studies, is being supported by AHEAD, Fraunhofer's technology transfer program, in founding a start-up. In this interview, she tells us about the successes she has already achieved and how »AHEAD« is helping her to better understand the business world.

The state of Rhineland-Palatinate supports small and medium-sized enterprises (SME) with the »KI4KMU-RLP« program in order to benefit from sustainable AI innovations. We help to identify use cases and submit funding applications. Companies in Rhineland-Palatinate can apply now until June 15, 2025. 

At the first Synthetic Data Symposium, Fraunhofer ITWM is bringing together experts from research and industry in the field of synthetic data for AI-based image processing, manufacturing, and quality assurance.

Markus Rauhut and Juraj Fulir from the department »Image Processing and Inspection Systems« are serving as organizers and moderators.

The European Conference on Computer Vision (ECCV) 2026 is an international research conference focusing on the latest developments in computer vision and machine learning.

Our colleague Linghui Liu from the »Image Processing and Inspection Systems« department will be presenting the topic »Unsupervised Visual Concept Bottlenecks for Interpretable Bioimage Classification« in a talk at the conference.