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公开(公告)号:US11189021B2
公开(公告)日:2021-11-30
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 , G06K9/20 , G06T7/12 , G06T7/11 , G06T7/60 , G06T7/70 , B33Y50/00 , B29C64/386 , H04N5/235
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:US20220036531A1
公开(公告)日:2022-02-03
申请号:US17370966
申请日:2021-07-08
Applicant: Align Technology, Inc.
Inventor: Paren Indravadan Shah , Anatoliy Parpara , Andrey Cherkas , Alexey Kalinichenko
IPC: G06T7/00 , G06K9/20 , G06T7/12 , G06T7/11 , G06T7/60 , G06T7/70 , B33Y50/00 , B29C64/386 , H04N5/235
Abstract: Systems and methods for machine based defect detection of 3D printed molds for orthodontic aligners are described. A method includes providing illumination of a 3D printed mold for an orthodontic aligner; generating a plurality of images of the 3D printed mold for the orthodontic aligner using one or more imaging devices, wherein each image of the plurality of images depicts a distinct region of the 3D printed mold for the orthodontic aligner; processing the plurality of images by a processing device to identify one or more types of manufacturing defects of the 3D printed mold for the orthodontic aligner, wherein for each type of manufacturing defect a probability that an image comprises a defect of that type of manufacturing defect is determined; and classifying, by the processing device, the 3D printed mold for the orthodontic aligner as defective based on identifying the one or more types of manufacturing defects.
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公开(公告)号:US12073552B2
公开(公告)日:2024-08-27
申请号:US17370966
申请日:2021-07-08
Applicant: Align Technology, Inc.
Inventor: Paren Indravadan Shah , Anatoliy Parpara , Andrey Cherkas , Alexey Kalinichenko
IPC: G06T7/00 , B29C64/386 , B33Y50/00 , G06K9/62 , G06T7/11 , G06T7/12 , G06T7/60 , G06T7/70 , G06V10/98 , G06V20/64 , H04N23/74
CPC classification number: G06T7/0008 , B29C64/386 , B33Y50/00 , G06T7/001 , G06T7/11 , G06T7/12 , G06T7/60 , G06T7/70 , G06V10/993 , G06V20/64 , H04N23/74 , G06T2207/10152 , G06T2207/20076 , G06T2207/20081 , G06T2207/20132 , G06T2207/30036 , G06T2207/30144 , G06T2207/30168
Abstract: Systems and methods for performing automated quality control for 3D printed molds for orthodontic aligners are described. A method includes generating a plurality of images of the 3D printed mold for the orthodontic aligner using one or more imaging devices, wherein each image of the plurality of images depicts a distinct region of the 3D printed mold for the orthodontic aligner; processing the plurality of images by a processing device to identify one or more types of manufacturing defects of the 3D printed mold for the orthodontic aligner, wherein for each type of manufacturing defect a probability that an image comprises a defect of that type of manufacturing defect is determined; and classifying, by the processing device, the 3D printed mold for the orthodontic aligner as defective based on identifying the one or more types of manufacturing defects.
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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:US20240412347A1
公开(公告)日:2024-12-12
申请号:US18806587
申请日:2024-08-15
Applicant: Align Technology, Inc.
Inventor: Paren Indravadan Shah , Anatoliy Parpara , Andrey Cherkas , Alexey Kalinichenko
IPC: G06T7/00 , B29C64/386 , B33Y50/00 , G06T7/11 , G06T7/12 , G06T7/60 , G06T7/70 , G06V10/98 , G06V20/64 , H04N23/74
Abstract: A manufacturing system, comprises one or more image capture devices configured to generate one or more images of a three-dimensional (3D) printed orthodontic appliance associated with a dental arch of a patient. The manufacturing system further comprises a computing device configured to: receive the one or more images of the 3D printed orthodontic appliance; process the one or more images of the 3D printed orthodontic appliance to determine probabilities of one or more types of manufacturing defects for the 3D printed orthodontic appliance; and determine whether to use the 3D printed orthodontic appliance for orthodontic treatment of the patient based on the probabilities of the one or more types of manufacturing defects.
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公开(公告)号:US10783629B2
公开(公告)日:2020-09-22
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 , Kwan Ho , Paren Indravadan Shah , Shiva P. Sambu , Enrique Soltero Borrego , Ben Castricone , Ari Siletz
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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