Project Analyse: Videos der Rohrglasproduktion

Basic data

Title:
Analyse: Videos der Rohrglasproduktion
Duration:
09/04/2019 to 31/10/2019
Abstract / short description:
Development and testing of machine learning methods for the analysis of videos in tubular glass production. The aim is to investigate whether production parameters can be obtained from optical recordings.
Keywords:
Video Processing
machine learning
Maschinelles Lernen

Involved staff

Managers

Faculty of Science
University of Tübingen
Wilhelm Schickard Institute of Computer Science (WSI)
Department of Informatics, Faculty of Science

Local organizational units

Department of Informatics
Faculty of Science
University of Tübingen

Funders

Mainz, Rheinland-Pfalz, Germany
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