Abstract: A dental appliance manufacturing system includes a plate. Molds of dental arches are to be positioned on the plate. The dental appliance manufacturing system further includes a heating section configured to be adjusted based on the molds positioned on the plate. The heating section is configured to heat one or more sheets of plastic to generate one or more heated sheets. The dental appliance manufacturing system further includes a thermoforming chamber configured to simultaneously thermoform the one or more heated sheets over the molds positioned on the plate to form a plurality of dental appliances.

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.

Abstract: A method includes: identifying marking parameters associated with performance of dental appliance etching; includes identifying a first segment of marking data to be etched onto a dental appliance; causing, via dental appliance marking equipment based on the marking parameters, etching of the first segment on the dental appliance; capturing image data associated with the etching of the first segment; and causing the marking parameters to be updated based on the image data. A method includes: subsequent to dental appliances being simultaneously thermoformed via a thermoforming system in a single batch, determining dental appliance data and laser tool data; determining, based on the dental appliance data and the laser tool data, global plan data for performing laser operations of the dental appliances via laser tools; and causing, based on the global plan data via the laser tools, the laser operations of the dental appliances.

Abstract: A method includes identifying first geometry of a first mold associated with a first dental arch and a second geometry of a second mold associated with a second dental arch. The method further includes determining, based on the first geometry and the second geometry that the first mold and the second mold are to be used for simultaneous forming of a first dental appliance and a second dental appliance on a plate in a dental appliance manufacturing system. The method further includes causing, based on the first geometry and the second geometry, one or more portions of the dental appliance manufacturing system to be configured to form the first dental appliance and the second dental appliance.

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.

Abstract: A method includes identifying first geometry of a first mold associated with a first dental arch and a second geometry of a second mold associated with a second dental arch. The method further includes determining, based on the first geometry and the second geometry that the first mold and the second mold are to be used for simultaneous forming of a first dental appliance and a second dental appliance on a plate in a dental appliance manufacturing system. The method further includes causing, based on the first geometry and the second geometry, one or more portions of the dental appliance manufacturing system to be configured to form the first dental appliance and the second dental appliance.