A picture is worth a collaboration: Accumulating design knowledge for computer-vision-based hybrid intelligence systems

P Zschech, J Walk, K Heinrich, M Vössing… - arXiv preprint arXiv …, 2021 - arxiv.org
Computer vision (CV) techniques try to mimic human capabilities of visual perception to
support labor-intensive and time-consuming tasks like the recognition and localization of …

Deep learning and rule-based image processing pipeline for automated metal cutting tool wear detection and measurement

C Holst, TB Yavuz, P Gupta, P Ganser, T Bergs - IFAC-PapersOnLine, 2022 - Elsevier
Tool wear causes costs and quality problems in metal cutting manufacturing processes. This
paper contains an approach of digitalization and big data analytical methods to quantify the …

An uncertainty-based human-in-the-loop system for industrial tool wear analysis

A Treiss, J Walk, N Kühl - Machine Learning and Knowledge Discovery in …, 2021 - Springer
Convolutional neural networks have shown to achieve superior performance on image
segmentation tasks. However, convolutional neural networks, operating as black-box …

Utilizing Active Machine Learning for Quality Assurance: A case study of virtual car renderings in the automotive industry

P Hemmer, N Kühl, J Schöffer - arXiv preprint arXiv:2110.09023, 2021 - arxiv.org
Computer-generated imagery of car models has become an indispensable part of car
manufacturers' advertisement concepts. They are for instance used in car configurators to …

[PDF][PDF] Deep learning process prediction for tool condition monitoring and forecasting

S Hall - 2023 - purehost.bath.ac.uk
Machining is one of the most prevalent manufacturing processes for producing precision
engineering components used in aerospace, automotive, and other industries. The demand …

[PDF][PDF] Image-based Decision Support Systems: Technical Concepts, Design Knowledge, and Applications for Sustainability

MSJ Walk - core.ac.uk
Abstract Unstructured data accounts for 80-90% of all data generated, with image data
contributing its largest portion. In recent years, the field of computer vision, fueled by deep …