The RecAIcle Consortium met for a strategic meeting on July 10, 2024, at the Digital Waste Research Lab (DWRL) of the Montan University of Leoben (MUL) in St. Michael. RecAIcle aims at achieving improvements in manual sorting in recycling trash separation plants, through learning from and interactions with the sorting worker. This complex learning and …
With 1st of August 2024, the Pro²Future Office in Graz will move from Inffeldgasse 25F to Sandgasse 34, 8010 Graz. https://maps.app.goo.gl/AgkWcEGCXVzJ1Xy37
We are very happy to announce, that Pro²Future was successfully funded for another 4+4 years epoch within the COMET programme of FFG. We convinced the international Jury on June 17, 2024, with a selected Board of Delegates, headed by our Scientific Director, Univ.-Prof. Dr. Alois Ferscha. Board of Delegates: Univ.-Prof. Dr. Kay Römer (Head of …
Autonomous, self-driving robot equipped with multi-camera-system, 3D-microphone-array and LIDAR-laserscanning revolutionizes transformer monitoring Transformers are central components of the energy infrastructure, hence their availability is an integral factor of security of supply. Continuous monitoring and predictive maintenance are therefore an important factor in increasing the longevity of these infrastructure elements. Although transformers are extremely durable and …
Success Story – Cross Sensor Platform for Lifecycle-Monitoring Read More »
Sustainable Materials and recyclable packaging systems are already being used in many areas. In an industrial context, such considerations are still rare – this project aims to change this and contribute to a rethink. For a long time, little attention was paid to the packaging of industrial products, and ecological optimization was not a primary …
Success Story – Closing Packaging loops to generate economic and ecological added value Read More »
Hear the Statements from selected Members of the Pro²Future International Scientific Advisory Board (ISAB) fostering International Collaborations. Prof. Dr. Albrecht Schmidt, LMU Munich, GermanyProf. Dr. Joe Paradiso, MIT Media Lab, USAProf. Dr. Wentong Cai, NTU, Singapore
Efficiency and quality improvement in CNC-production by incorporating additional and non-invasive sensors Failsafe Manufacturing Systems are designed to ensure a high level of reliability and quality in production processes. An important aspect of these systems is the integration of sensors and the combination of multi-sensor data, which enables early detection of potential failures. By detecting …
Success Story – Enhanced Failsafe Manufacturing System for Production Machines Read More »
