Technologies and Competences

Data Analytics

Technologies

Technologies at a glance

Sports Analytics

Sport is becoming increasingly mediatized. Nowadays not only the final game score is important, but also the player´s performance. Sport-relevant evaluation parameters can be precisely calculated and used for improving the movement prediction...

Autonomous Systems

We use automation everywhere in our daily lives. So it's even more important that everything works fine. Meanwhile, potential errors can be corrected by the machines themselves...

Optical Tracking

The most obvious method of tracking is through optical stimuli, since the largest amount of environmental information is received through the eyes. This can also be transferred to state-of-the-art technologies...

Smart Sensing

Finally, in the process of data analytics and machine learning, movements or states are always classified. Learn more about how researchers and developers at Fraunhofer IIS have once again been particularly involved in this...

Smart Objects in Industry 4.0

Sensors are an important component of the development towards automation and networking. They are usually meant to measure a specific parameter, but that's often not enough...

Competences at a glance

Machine Learning

In machine learning, the system can learn from examples and generalize and implement them after completing the learning phase...

 

Fusion

A single technology can not usually meet all requirements. One solution is the fusion of multiple technologies and information...

Positioning

The localization competence of Fraunhofer IIS can also be used in the field of data analytics. Exact position determination can also be elementary here...

Inertialsensors

An inertial navigation system uses position data from acceleration and yaw rate sensors for determining the position. Inertial sensors allow object movements to be continuously measured...