Real-time image processing

Kapela: Kamerabasierte Produktdiagnose in elektrischen Antrieben

Prof. Dr. rer. nat. Helene Dörksen
01.09.2014 bis 30.06.2015

Due to recent developments in control and drive technology, German textile and weaving machines are once again in the focus of the textile processing industry worldwide. The transferee sees in this market segment an excellent starting position for the development of new markets through new concepts and strategies for new autonomous drives. In particular, based on the present sketch, drives are to be equipped with smart camera systems and corresponding image processing hardware and software, with the aim of realizing a sensing and seeing drive in the sense of a cyber-physical system (for Industry 4.0 applications).

This project is promoted by:
Sponsors: Projektträger Karlsruhe Produktion und Fertigungstechnologien (PTKA-PFT)
Funding Code: 02PQ3062
Funding Lines: it’s OWL – Intelligente Technische Systeme Ostwestfalen-Lippe
Stakeholders / Contacts: Prof. Dr. rer. nat. Helene Dörksen
Employees: Kristijan Vukovic, B. Sc.
Kristijan Vukovic, B. Sc., Kristina Simonis, Prof. Dr. rer. nat. Helene Dörksen, Prof. Dr.-Ing. Volker Lohweg
Efficient Image Processing System for an Industrial Machine Learning Task
In: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS), Oct 2015