ProjectAnalyse von Videoaufnahmen aus der Rohrglasproduktion / Phase 3
Basic data
Title:
Analyse von Videoaufnahmen aus der Rohrglasproduktion / Phase 3
Duration:
01/11/2020 to 15/02/2021
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
University of Tübingen
Wilhelm Schickard Institute of Computer Science (WSI)
Department of Informatics, Faculty of Science
Department of Informatics, Faculty of Science
Local organizational units
Department of Informatics
Faculty of Science
University of Tübingen
University of Tübingen
Funders
Mainz, Rheinland-Pfalz, Germany