Field of Research
Data Analysis: Sensorfusion, Computer Vision, Machine Learning


The systematic acquisition of relevant process information is a basic prerequisite for a successful/targetive signal and data analysis. The acquisition of high-frequency external sensors, low-frequency internal signals, and process-accompanying information ("metainformation") quickly lead to complex data structures. The context-related analysis of this data is our main focus.
For mass data (Big Data, # >> 10.000) we fall back on techniques of machine learning (supervised, unsupervised).

Main topics:

  • Online or offline synchronization of different sensor sources
  • Modeling and correction of sensors
  • Automatic image processing
  • Machine Learning (supervised | unsupervised)
  • Data mining



Do you have questions concerning this research area?

Your contact:
Max Schwenzer
Cluster Produktionstechnik 3B 232
Tel.: +49 241 80-28021
Fax: +49 241 80-22293


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