ProjectAnalyse von Videoaufnahmen aus der Rohrglasproduktion / Phase 3

Basic data

Title:
Analyse von Videoaufnahmen aus der Rohrglasproduktion / Phase 3
Duration:
11/1/2020 to 2/15/2021
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 the analysis and prediction of temporal sequences of video and process data can increase the prediction quality.
Keywords:
machine learning
Maschinelles Lernen
Video Processing

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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