公开(公告)号：US11922729B1

公开(公告)日：2024-03-05

申请号：US18168247

申请日：2023-02-13

Applicant: Amazon Technologies, Inc.

Inventor： Kaustav Kundu ,  Pahal Kamlesh Dalal ,  Nishitkumar Ashokkumar Desai ,  Jayakrishnan Kumar Eledath ,  Geoffrey A. Franz ,  Gerard Guy Medioni ,  Hoi Cheung Pang ,  Rakesh Ramakrishnan

IPC: G06V40/20 ,  G06N20/00 ,  G06T7/246 ,  G06V20/64 ,  G06V40/10

CPC classification number: G06V40/25 ,  G06N20/00 ,  G06T7/246 ,  G06V20/64 ,  G06V40/103 ,  G06V40/28 ,  G06T2207/30241

Abstract: Commercial interactions with non-discretized items such as liquids in carafes or other dispensers are detected and associated with actors using images captured by one or more digital cameras including the carafes or dispensers within their fields of view. The images are processed to detect body parts of actors and other aspects therein, and to not only determine that a commercial interaction has occurred but also identify an actor that performed the commercial interaction. Based on information or data determined from such images, movements of body parts associated with raising, lowering or rotating one or more carafes or other dispensers may be detected, and a commercial interaction involving such carafes or dispensers may be detected and associated with a specific actor accordingly.

公开(公告)号：US11869065B1

公开(公告)日：2024-01-09

申请号：US16272420

申请日：2019-02-11

Applicant: Amazon Technologies, Inc.

Inventor： Jayakrishnan Kumar Eledath ,  Nikhil Chacko ,  Alessandro Bergamo ,  Kaustav Kundu ,  Marian Nasr Amin George ,  Jingjing Liu ,  Nishitkumar Ashokkumar Desai ,  Pahal Kamlesh Dalal ,  Keshav Nand Tripathi

IPC: G06Q30/0601 ,  G06V10/40 ,  G06V40/20 ,  G06F18/241

CPC classification number: G06Q30/0633 ,  G06F18/241 ,  G06V10/40 ,  G06V40/28

Abstract: This disclosure describes systems and techniques for identifying events that occur within an environment using image data captured at the environment. For example, one or more cameras may generate image data representative of a user interacting with an item on the shelf. This image data may be used to generate feature data associated with the user and the item, which may be analyzed by one or more classifiers for identifying an interaction between the user and the item. The systems and techniques may then generate interaction data, which in turn may be analyzed by one or more additional classifiers for identifying an event, such as the user picking a particular item from the shelf within the environment. Event data indicative of the event may then be used to update a virtual cart of the user.

公开(公告)号：US11580785B1

公开(公告)日：2023-02-14

申请号：US16436500

申请日：2019-06-10

Applicant: Amazon Technologies, Inc.

Inventor： Kaustav Kundu ,  Pahal Kamlesh Dalal ,  Nishitkumar Ashokkumar Desai ,  Jayakrishnan Kumar Eledath ,  Geoffrey A. Franz ,  Gerard Guy Medioni ,  Hoi Cheung Pang ,  Rakesh Ramakrishnan

IPC: G06T7/246 ,  G06N20/00 ,  G06V40/20 ,  G06V20/64 ,  G06V40/10

Abstract: Commercial interactions with non-discretized items such as liquids in carafes or other dispensers are detected and associated with actors using images captured by one or more digital cameras including the carafes or dispensers within their fields of view. The images are processed to detect body parts of actors and other aspects therein, and to not only determine that a commercial interaction has occurred but also identify an actor that performed the commercial interaction. Based on information or data determined from such images, movements of body parts associated with raising, lowering or rotating one or more carafes or other dispensers may be detected, and a commercial interaction involving such carafes or dispensers may be detected and associated with a specific actor accordingly.

公开(公告)号：US11423265B1

公开(公告)日：2022-08-23

申请号：US16917721

申请日：2020-06-30

Applicant: Amazon Technologies, Inc.

Inventor： Hao Chen ,  Hao Wu ,  Hao Li ,  Michael Quang Thai Lam ,  Xinyu Li ,  Kaustav Kundu ,  Meng Wang ,  Joseph P Tighe ,  Rahul Bhotika

IPC: G06K9/62 ,  G06T7/10 ,  G06T11/20 ,  G06N20/00

Abstract: Methods, systems, and computer-readable media for content moderation using object detection and image classification are disclosed. A content moderation system performs object detection on an input image using one or more object detectors. The object detection finds one or more elements in the input image. The content moderation system performs classification based at least in part on the input image using one or more image classifiers. The classification determines one or more values indicative of one or more content types in the input image. The content moderation system determines one or more scores for one or more content labels corresponding to the one or more content types. At least one of the scores represents a finding of one or more of the content types in the input image. The content moderation system generates output indicating the finding of the one or more of the content types.