AI system solutions

Fraunhofer EMFT develops state-of-the-art sensor technologies and demonstrates their application potential directly using demonstrators, prototypes, and system solutions. For industrial partners, the range of services in system design extends from the initial idea to implementation—practical, application-oriented, and ready for use.

Sensors are the heart of IoT and IIoT. To meet growing demands, sensor nodes must become more powerful, cost-efficient, and above all, energy-efficient—ideally even energy-autonomous. Fraunhofer EMFT thus lays the foundation for sustainable, connected industrial applications of the future.

Measuring vital signs such as blood oxygen, pulse, and temperature is essential for health assessment. Modern medical wearables, as complex multi-sensor systems, provide precise data that is analyzed using machine learning to detect disease patterns early and support prevention.

In the field of in-vitro diagnostics, Fraunhofer EMFT has developed numerous prototypes with optical detectors—from simple photodiodes to photomultipliers based on glass tubes or silicon. These devices detect bacteria, viruses, and analyze body fluids using absorption, chemiluminescence, or fluorescence methods.

Fraunhofer EMFT develops intelligent sensor systems enhanced by machine learning. These »machine learning enhanced sensor systems« save energy and bandwidth, reduce response times, and ensure secure handling of sensitive data—enabling innovative and efficient sensor solutions.

Artificial intelligence has revolutionized time series analysis: specialized AI algorithms detect patterns and trends in sequential data, identify anomalies, and deliver precise predictions. This enables Fraunhofer EMFT to support decision-making processes in fields like healthcare and manufacturing—for a smarter, data-driven future.

AI on the Edge combines edge computing with artificial intelligence to enable powerful local data processing directly on edge devices. The challenge lies in the holistic alignment of AI models, software stacks, and hardware—an area where Fraunhofer EMFT offers extensive expertise.

Industry 4.0 digitally connects devices and processes, generating vast amounts of data. Manual evaluation is nearly impossible, making automated machine learning methods essential to analyze complex data, monitor processes, and unlock the full potential of the data.