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US 12,263,632 B2Granted
Dynamic thermoforming of dental appliances
AssigneeAlign Technology, Inc.
InventorsLuis Carlos Martínez González, Rowan Fernando Garcia Saucedo, Mario Alfonso Rito Martinez, Ismael Núñez García, René David Alfaro, Shiva P. Sambu
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Abstract
A method includes identifying one or more images of a mold of a dental arch, identifying a digital model corresponding to the mold of the dental arch, providing the one or more images and the digital model as input into a trained machine learning model, receiving, from the trained machine learning model, output, and determining, based on the output, whether the mold matches the digital model.
Claims21
A method comprising:
- identifying one or more images of a mold of a dental arch;
- identifying a digital model corresponding to the mold of the dental arch;
- providing the one or more images and the digital model as input into a trained machine learning model;
- receiving, from the trained machine learning model, output;
- and
- determining, based on the output, whether the mold matches the digital model.
3 more elements
A method comprising:
- receiving historical images of a plurality of historical molds of dental arches;
- identifying historical digital models corresponding to the plurality of historical molds;
- receiving historical matching data;
- and
- training a machine learning model based on input comprising the historical images and the historical digital models and target output comprising historical matching data to generate a trained machine learning model, wherein the trained machine learning model is configured to provide output to determine whether a current mold matches a current digital model.
2 more elements
A method comprising:
- receiving sensor data associated with manufacturing of one or more dental appliances in a dental appliance manufacturing system;
- providing the sensor data as input into a trained machine learning model;
- receiving, from the trained machine learning model, output;
- and
- determining, based on the output, one or more heating element setpoints to cause a substantially even heat distribution on a sheet of plastic to form the one or more dental appliances.
2 more elements
A method comprising:
- receiving historical sensor data associated with manufacturing dental appliances in a dental appliance manufacturing system;
- identifying historical heating element setpoints and historical heat distribution data associated with the manufacturing of the dental appliances;
- and
- training a machine learning model based on input data comprising the historical sensor data and target output comprising the historical heating element setpoints and the historical heat distribution data to generate a trained machine learning model, wherein the trained machine learning model is configured to provide an output for determining one or more current heating element setpoints based on current sensor data to cause a substantially even heat distribution on a sheet of plastic to form one or more dental appliances.
1 more element
Dependencies are inferred from the claim text.