man at machine
© Fraunhofer IOSB
The Machine Intelligence department researches and develops automation solutions based on artificial intelligence that provide human-machine interfaces for operation, maintenance and management in the factories of the future.

We develop automation solutions based on machine intelligence

Department Machine Intelligence (MIT)

The Machine Intelligence department researches and develops automation solutions based on artificial intelligence, providing human-machine interfaces for operation, maintenance and management in the factories of the future.

We develop industry-compatible solutions that help people manage and control the complex production environments of today and tomorrow. For this purpose, we collect, analyze and utilize data relevant to production. We build big-data platforms and interoperability frameworks based on open standards such as OPC UA. Thanks to machine learning, we can predict how real processes will behave, optimize them, ensure system integrity and also diagnose the operating status of plant machinery. Our research focuses on model-based design, optimization methods and knowledge-based system diagnosis. In the field of human-machine interfaces, we develop assistance systems that provide support in job training, manual assembly and maintenance. This includes research into user experience, usability, and information and interaction design.

The range of possible applications and markets for our products is virtually endless. From modern, networked production in the automotive industry to small workshops, from robot cells to handheld drills – sensor data can be gathered in all kinds of environments and then simulated in models, in order to streamline processes and generate useful knowledge. Our vision: reliable, standardized communication for Industrie 4.0 so as to integrate machine and plant data using a plug-and-monitor system, and to automate the interpretation of this data with models that deliver sound information. We have also worked with the German Mechanical Engineering Industry Association (VDMA) to develop an OPC UA manual for medium-sized companies.

More information on the website of Fraunhofer IOSB-INA

 

More information

Further information about the department Machine Learning can be found on the website of the Industrial Automation branch IOSB-INA, to which the department belongs.

SmartFactoryOWL

SmartFactoryOWL is the industry 4.0 research and demonstration platform for medium-sized companies in OWL.

Machine Learning

How can added value in production be achieved through intelligent data analysis? This question is the focus of the Machine Learning division of Fraunhofer IOSB-INA.

Big-Data-Plattforms

This division works on making machines and plants intelligent by real-time computer models of the technical process.

Assistance Systems

Complex technical systems require intuitive human-technology interfaces - this is what this division deals with in the context of medium-sized production.

 

 

Interested in a cooperation?

Are you interested in a cooperation with our department or do you have questions about our current research topics? Then get in contact with us!