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    System to reduce data retention
    21.
    发明授权
    System to reduce data retention 有权

    公开(公告)号：US12086225B1

    公开(公告)日：2024-09-10

    申请号：US17448437

    申请日：2021-09-22

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Gerard Guy Medioni ,  Manoj Aggarwal ,  Alon Shoshan ,  Igor Kviatkovsky ,  Nadav Israel Bhonker ,  Lior Zamir ,  Dilip Kumar

    IPC: G06F21/32 ,  G06F18/213 ,  G06F18/214 ,  G06F21/62

    CPC classification number: G06F21/32 ,  G06F18/213 ,  G06F18/214 ,  G06F21/6245

    Abstract: An image of at least a portion of a user during enrollment to a biometric identification system is acquired and processed with a first model to determine a first embedding that is representative of features in that image in a first embedding space. The first embedding may be stored for later comparison to identify the user, while the image is not stored. A second model that uses a second embedding space may be later developed. A transformer is trained to accept as input an embedding from the first model and produce as output an embedding consistent with the second embedding space. The previously stored first embedding may be converted to a second embedding in a second embedding space using the transformer. As a result, new embedding models may be implemented without requiring storage of user images for later reprocessing with the new models or requiring re-enrollment by users.

    Transitioning items from a materials handling facility
    23.
    发明授权
    Transitioning items from a materials handling facility 有权

    公开(公告)号：US12002009B2

    公开(公告)日：2024-06-04

    申请号：US17408305

    申请日：2021-08-20

    Applicant: Amazon Technologies, Inc.

    Inventor： Gianna Lise Puerini ,  Dilip Kumar ,  Steven Kessel

    IPC: G06Q10/00 ,  G06Q10/0875

    CPC classification number: G06Q10/0875

    Abstract: This disclosure describes a system for automatically transitioning items from a materials handling facility without delaying a user as they exit the materials handling facility. For example, while a user is located in a materials handling facility, the user may pick one or more items. The items are identified and automatically associated with the user at or near the time of the item pick. When the users enters and/or passes through a transition area, the picked items are automatically transitioned to the user without affirmative input from or delay to the user.

    System for training neural network using ordered classes
    26.
    发明授权
    System for training neural network using ordered classes 有权

    公开(公告)号：US11868443B1

    公开(公告)日：2024-01-09

    申请号：US17302770

    申请日：2021-05-12

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Rajeev Ranjan ,  Prithviraj Banerjee ,  Manoj Aggarwal ,  Gerard Guy Medioni ,  Dilip Kumar

    IPC: G06F18/2431 ,  G06N3/08 ,  G06F18/214 ,  G06F18/2113 ,  G06N3/045

    CPC classification number: G06F18/2431 ,  G06F18/214 ,  G06F18/2113 ,  G06N3/045 ,  G06N3/08

    Abstract: A neural network is trained to process input data and generate a classification value that characterizes the input with respect to an ordered continuum of classes. For example, the input data may comprise an image and the classification value may be indicative of a quality of the image. The ordered continuum of classes may represent classes of quality of the image ranging from “worst”, “bad”, “normal”, “good”, to “best”. During training, loss values are determined using an ordered classification loss function. The ordered classification loss function maintains monotonicity in the loss values that corresponds to placement in the continuum. For example, the classification value for a “bad” image will be less than the classification value indicative of a “best” image. The classification value may be used for subsequent processing. For example, biometric input data may be required to have a minimum classification value for further processing.

    Multi-video annotation
    30.
    发明授权
    Multi-video annotation 有权

    公开(公告)号：US10733450B1

    公开(公告)日：2020-08-04

    申请号：US16291632

    申请日：2019-03-04

    Applicant: Amazon Technologies, Inc.

    Inventor： Roman Goldenberg ,  Gerard Guy Medioni ,  Ofer Meidan ,  Ehud Benyamin Rivlin ,  Dilip Kumar

    IPC: G06K9/00 ,  H04N5/232 ,  H04N5/77 ,  G06K9/66 ,  H04N7/18

    Abstract: Multiple video files that are captured by calibrated imaging devices may be annotated based on a single annotation of an image frame of one of the video files. An operator may enter an annotation to an image frame via a user interface, and the annotation may be replicated from the image frame to other image frames that were captured at the same time and are included in other video files. Annotations may be updated by the operator and/or tracked in subsequent image frames. Predicted locations of the annotations in subsequent image frames within each of the video files may be determined, e.g., by a tracker, and a confidence level associated with any of the annotations may be calculated. Where the confidence level falls below a predetermined threshold, the operator may be prompted to delete or update the annotation, or the annotation may be deleted.

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