Method to train a neural network to detect a tool status from images, method of machining and/or manufacturing, and installation
AssigneeSiemens Aktiengesellschaft
InventorsBenjamin Samuel Lutz, Daniel Regulin
Life of this patent
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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.
Claims14
A method for training a neural network to recognize a tool condition based on image data, the method comprising:
- training the neural network to recognize the tool condition of a first tool type;
- and
- applying image data of a second tool type, the applied image data being subjected to image processing, via which the image data of the second tool type is converted into image data of the first tool type,
- wherein the neural network is trained based on the converted image data.
A machining, production, or machining and production method that is performed via a first tool type, the machining, production, or machining and production method comprising:
- recognizing a tool condition of the first tool type by a neural network that is trained to recognize the tool condition of the first tool type, the training of the neural network comprising applying image data of a second tool type, the applied image data being subjected to image processing, via which the image data of the second tool type is converted into image data of the first tool type, the neural network being trained based on the converted image data.
An installation for machining, production, or machining and production via a first tool type, the installation comprising:
- a neural network that is trained to recognize a tool condition based on image data, the neural network being trained to recognize the tool condition of the first tool type, the training of the neural network further including application of image data of a second tool type, the applied image data being subjected to image processing, via which the image data of the second tool type is converted into image data of the first tool type,
- wherein the neural network is trained based on the converted image data.
Dependencies are inferred from the claim text.