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US 2022/0026259 A1Published application
Method and a device for estimating weight of food objects
AssigneeMarel Salmon A/S
InventorsStefan VILLERUP, Andreas Dam LYKKEGARD
Life of this patent
Estimating the term…
Abstract
A method of estimating weight of food objects, includes training an artificial neural network software module, and using the trained artificial neural network software module to provide a weight correlated data estimate for said food object based on a three-dimensional image of the food object
Claims22
-21. (canceled)
A method of estimating weight of food objects, comprising:
- providing a processor with an artificial neural network software module,
- capturing three-dimensional (3D) training image data and associated training weight data of a plurality of training food objects by use of a 3D imaging device and a scale,
- training the artificial neural network software module by use of the training image data and associated weight data, and with the use of the trained artificial neural network software module:
- capturing a three-dimensional (3D) image of a food object by a 3D imaging device, and
- using the trained artificial neural network software module and the captured 3D image to provide a weight correlated data estimate for said food object.
2 more elements
A device for providing a weight correlated data estimate for a food object, the device comprising:
- a 3D imaging device configured to provide three-dimensional (3D) image data of the food object,
- a processor configured with an artificial neural network software module configured to output the weight correlated data estimate for said food object based on the three-dimensional image data, the artificial neural network software module being trained software module, where the training of the artificial neural network software module is based on collected 3D image data with associated weight data for said similar or identical food species.
Dependencies are inferred from the claim text.