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公开(公告)号：US10970839B2
公开(公告)日：2021-04-06
申请号：US16937512
申请日：2020-07-23
Applicant: Align Technology, Inc.
Inventor： Anatoliy Parpara , Ivan Kharpalev , Stephan Albert Alexandre Dumothier , Andrey Cherkas , Alexey Kalinichenko , Jack Shaw , Israel Velazquez
Abstract: A method for analyzing a quality of an orthodontic aligner is described. The method includes receiving, by a processor, a digital representation of a fabricated orthodontic aligner, the digital representation having been generated based on imaging of the fabricated orthodontic aligner. The method further includes analyzing, by the processor, the digital representation of the fabricated orthodontic aligner to identify a quality-related property of the fabricated orthodontic aligner. The method further includes determining, based on the quality-related property, that the fabricated orthodontic aligner comprises a manufacturing flaw. The method further includes classifying, by the processor, the fabricated orthodontic aligner as requiring further inspection by a technician based on determining that the fabricated orthodontic aligner comprises the manufacturing flaw.
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公开(公告)号：US20200160497A1
公开(公告)日：2020-05-21
申请号：US16685848
申请日：2019-11-15
Applicant: Align Technology, Inc.
Inventor： Paren Indravadan Shah , Anatoliy Parpara , Andrey Cherkas , Alexey Kalinichenko
IPC: G06T7/00 , H04N5/235 , G06K9/20 , G06T7/12 , G06T7/11 , G06T7/60 , G06T7/70 , B33Y50/00 , B29C64/386
Abstract: Implementations describe systems and methods for machine based defect detection of three-dimensional (3D) printed objects. A method of one embodiment of the disclosure includes providing a first illumination of a 3D printed object using a first light source arrangement. A plurality of images of the 3D printed object are then generated using one or more imaging devices. Each image may depict a distinct region of the 3D printed object. The plurality of images may then be processed by a processing device using a machine learning model trained to identify one or more types of manufacturing defects of a 3D printing process. The machine learning model may provide a probability that an image contains a manufacturing defect. The processing device may then determine, without user input, whether the 3D printed object contains one or more manufacturing defects based on the results provided by the machine learning model.
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公开(公告)号：US20190295254A1
公开(公告)日：2019-09-26
申请号：US16435322
申请日：2019-06-07
Applicant: Align Technology, Inc.
Inventor： Anatoliy Parpara , Ivan Kharpalev , Stephan Albert Alexandre Dumothier , Andrey Cherkas , Alexey Kalinichenko , Jack Shaw , Israel Velazquez
Abstract: A method and system for inspecting a customized orthodontic aligner for manufacturing defects are described. The method includes obtaining images of the customized orthodontic aligner, determining a digital file associated with the aligner, the digital file including a digital model of a mold used during manufacture of the customized orthodontic aligner, determining an inspection recipe for the aligner, determining an intended property for the customized orthodontic aligner by digitally manipulating the digital model of the mold, determining an actual property of the customized orthodontic aligner from the images, determining whether there is a manufacturing defect in the customized orthodontic aligner by comparing the intended property with the actual property, and outputting an output associated with the determination of whether there is a manufacturing defect.
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公开(公告)号：US20190102880A1
公开(公告)日：2019-04-04
申请号：US16145016
申请日：2018-09-27
Applicant: Align Technology, Inc.
Inventor： Anatoliy Parpara , Ivan Kharpalev , Stephan Albert Alexandre Dumothier , Andrey Cherkas , Alexey Kalinichenko , Jack Shaw , Israel Velazquez
Abstract: A method for inspecting a customized orthodontic aligner for manufacturing defects, the customized orthodontic aligner customized for a specific arch of a specific patient and a specific stage of orthodontic treatment, the method including obtaining images of the customized orthodontic aligner; identifying an identifier of the customized orthodontic aligner, determining a digital file based on the identifier, the digital file associated with the customized orthodontic aligner including a digital model of a mold used during manufacture of the customized orthodontic aligner, determining a intended property for the customized orthodontic aligner by digitally manipulating the digital model of the mold, determining an actual property of the customized orthodontic aligner from the images, determining whether there is a manufacturing defect in the customized orthodontic aligner by comparing the intended property with the actual property, outputting an output associated with the determination of whether there is a manufacturing defect.
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