Research project Schau ML

Quality assurance with SchaumML - A step forward for the quality control of meter goods!
The common, overarching goal of the SchauML research project was to prototype the economically sensible use of automated goods inspection systems using machine learning for complex products in small and medium-sized companies using the case study of complex textiles. The project received funding from the Federal Ministry of Education and Research.
We would like to take this moment to thank ENTWURFREICH, the Chair of Image Processing at RWTH Aachen University and the ITA Institute for Textile Technology at RWTH Aachen University for an outstanding collaboration!
During the audit with WKS Textilveredlungs-GmbH, we jointly overcame various challenges, developed new solutions, and achieved significant results that would not have been possible without this synergistic partnership.
A special thank you goes to the entire team, whose dedication and expertise contributed decisively to the success of the SchauML research project. Their willingness to find creative and future-oriented solutions laid the foundation for the research project's success.
We look forward to continuing our collaboration and are confident that the SchauML research project will guide many small and medium-sized enterprises into the future of quality assurance.