We optimize your production processes ensuring you are more able to make efficient use of machines, avoid production downtime and increase the quality of your products. To do this we use the most advanced Big Data and AI technology available. We use your company’s machine and production data as a database for our analyses which we can also access and process for you if needed. We also build on your own experts’ knowledge and experience and incorporate it into our analyses.
This is how we guide you on your tailored path to Industry 4.0 and the “digital factory”. Within the “digital factory” products or parts including their components, processes and data are called “digital twins” and are typically made available on IoT platforms. Cloud-based solutions such as these cannot, however, be used universally: In application scenarios requiring high latency and data protection it is often more advantageous to use decentralized data processing and distributed learning. This is where “Edge Computing” provides computational power where needed. Our software architecture and decentralized learning experts help you develop the most suitable solution for your individual circumstances.
If Machine Learning is to be applied to production, we develop a systematic procedure model by integrating relevant domain and specialist knowledge into an automated form. This is then applied to the data analysis by adapting learning procedures to typical production issues. Our long-term experience creating time series analyses and using technology building blocks for image and audio analytics combined with our intensive decentralized learning research gives us a technological advantage when production-ready solutions need to be developed quickly.
Thanks to our excellent network within the Fraunhofer-Gesellschaft as well as in regional and national centers of excellence we are able, if required, to put together project teams made up of experts from many different sectors.