Patent · US Active

Method to train a neural network to detect a tool status from images, method of machining and/or manufacturing, and installation

US12243211B2 · kind B2 · utility

0Cited by

1References

12Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Benjamin Lutz · Berghausen, DE
Daniel Regulin · Munich, DE

Key dates

Filing date	Aug 27, 2021
Grant date	Mar 4, 2025
Priority date	—
Expiry date	Dec 9, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

In a method for training a neural network to recognize a tool condition based on image data, the neural network is trained to recognize the tool condition of a first tool type, and image data of a second tool type is applied. The image data is subjected to image processing. Via this, the image data of the second tool type is converted into image data of the first tool type. The neural network is trained based on the converted image data. In a method for machining and/or production via the first tool type, the tool condition of the first tool type is recognized via a neural network that is trained in accordance with such a method.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.