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Industry 5.0

A diagram on a white background, which consists of 13 honeycombs arranged together. Each honeycomb shows a symbol of Industrie 4.0, for example 3D printing or visual analysis or the use of robotics. All honeycombs are arranged around a honeycomb that represents humans at the center of Industrie 5.0.
Industry 5.0 puts people at the center of the technological and digital transformation of the industrial revolution. At VRVis, we have been researching human-centered solutions in the field of trusted artificial intelligence or visual analytics for many years.

With its Industry 5.0 concept (Industry 5.0 - Towards a sustainable, human-centric and resilient European industry), the European Union is committed to a new industrial revolution that goes beyond purely technical and economic goals. The focus is on people: the employees involved in the production as well as the end users. The Industry 5.0 concept thus puts human-centric technologies and solutions at the center. Likewise, the focus is on sustainable practices and resilient structures. VRVis is a project partner of the European Digital Innovation Hub AI5production, an alliance of established research and technology institutions to support domestic industry and business on their path to digital transformation through human-centric artificial intelligence solutions and related technologies.

Process Engineering

A visual analytics dashboard that shows various data analyses in several windows.
Visual analytics and data science are important tools in process engineering, helping to provide a faster and more detailed insight into production data. Here is an example of a visual analytics data analysis for a large international producer of refractory products.

At VRVis, we develop solutions for our partners that use state-of-the-art data science and visual analytics approaches to improve and even shorten data analysis processes. As a result, our solutions for a better understanding of production processes have already reduced the analysis time of an entire working day to just five minutes - and this for process experts without data science experience with a data volume of several years' worth of data. We also use the latest artificial intelligence approaches to automate production processes. With our research, we support the entire development cycle from data quality analysis, annotation of training data and AI-based modeling to the development of tailored solutions, e.g. for quality assurance in production or image-based analysis of materials.

Predictive modelling

Bild der Datenaufbereitung in einem Computerprogramm
Visual Analytics macht es auf visuell ansprechende Weise mögliche, mit existierenden Prozess- und Produktionsdaten in die Zukunft zu schauen.

All the data that accumulates in Industry 4.0 is important information that, when correctly prepared, not only improves the explanation of existing processes, but above all enables forecasts for the future. Visual Analytics offers a range of presentation options here, above all predictive modelling, which can predict future results based on real data. Here it is essential to always focus on evaluating the quality of the data because models can only be as good as the data on which they are based.

Digital Twin

A man sits by his computer.
Digital twins are more and more omnipresent in all industries. At VRVis, we have been supporting our corporate partners in the industrial sector in digitization and the implementation of digital twins for over 20 years.

The digital twin and its fields of application are among the most important topics in Industry 4.0, where companies are facing major challenges due to the digital transformation. As a digital copy of a real object or as a model of something that will be created in the future, the digital twin makes it possible to run through production processes from the initial idea to production and to simulate a wide variety of scenarios in a very short time. The preparation and accompaniment of real production processes by digital twins not only saves costs and resources but also allows a better understanding of the data and thus, for example, more accurate predictions in a production plant.

XR & XR training

A woman sits at a laptop, behind her a second woman moves around the room standing with VR glasses.
VRVis develops XR solutions for safety training, accessible training purposes, collaborative mission planning, and cultural education.

Immersive technologies provide meaningful solutions for handling the large volumes of data that are routinely generated in Industry 4.0. With the help of extended reality (XR), even big data can be made accessible to people in a way that is easy to understand and low-threshold: for example, by processing huge data volumes in virtual reality. In this way, the user can, literally speaking, stick his head into his 3D data.

Extended Reality applications in the area of training and education, which are increasingly used in Industry 4.0 in planning, control and production, function in a comparable way. Virtual reality training courses offer employees highly realistic environments and experiences in which they can immerse themselves "as if in real life" and thus have a lasting, authentic learning effect. VR training is particularly suitable for complex or even high-risk training, e.g., in the area of fire protection.

Analysis of large simulation data

Zwei Forscher besprechen etwas vor zwei Computerbildschirmen.
Together with our partner AVL List GmbH, we are exploring new methods for interactive visual analysis of large simulation data sets.

The interactive visual analysis of complex as well as large parameter data sets is essential for many industries, especially in connection with simulation ensembles or prototype development. At VRVis, we have been developing various methods and tools for over 15 years to be able to interactively analyze and optimize large simulation data from various fields "on the fly".

Artificial intelligence for pattern recognition

A picture with several colorful shapes, which in turn are divided into different small and colorful areas and thus represent different components.
The interplay of AI and visual computing allows materials and production processes to be automatically recorded and checked. Here is an example from miscroscopy-based analysis, in which very fine transitions between components must be correctly segmented - VRVis has developed a new and much more robust AI solution for this, which enables fully automated quality assurance.

Visual computing and artificial intelligence are two key technologies in the realization of Industry 4.0, on which our partners like RHI Magnesita rely. In cooperation with this partner, we research the latest approaches of artificial intelligence in order to advance image-based defect and anomaly detection in the production of refractory materials. With our research, we support the entire development cycle from harmonization and annotation of data to fully automated defect analysis.

Autonomous real-time capturing with robotic dogs

Image of a blue robot dog "looking" at the camera.
Real-time capturing is particularly promising for seamless documentation in the construction industry - especially without disrupting the workflow. Robotic dogs that act autonomously offer new possibilities here.

Digitization solutions along the entire chain of value creation - from planning and production to assembly and documentation - are of great importance for today's construction industry. Especially on a construction site, many work processes happen simultaneously, making documentation often very challenging. VRVis uses robot dogs specifically adapted for use in the construction industry to enable the fully autonomous creation of digital and immersive construction site clones.