Feb. 12, 2024, 5:42 a.m. | M. T. Garc\'ia-Ord\'as E. Alegre-Guti\'errez V. Gonz\'alez-Castro R. Alaiz-Rodr\'iguez

cs.LG updates on arXiv.org arxiv.org

In this paper, a new system based on combinations of a shape descriptor and a contour descriptor has been proposed for classifying inserts in milling processes according to their wear level following a computer vision based approach. To describe the wear region shape we have proposed a new descriptor called ShapeFeat and its contour has been characterized using the method BORCHIZ that, to the best of our knowledge, achieves the best performance for tool wear monitoring following a computer vision-based …

computer computer vision contour cs.ai cs.cv cs.lg features monitoring paper processes tool vision

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote