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公开(公告)号：US20210182921A1
公开(公告)日：2021-06-17
申请号：US16712775
申请日：2019-12-12
Applicant: Amazon Technologies, Inc.
Inventor： David Christopher Onkels , Ariel Dos Santos , Thomas Meilandt Mathiesen , Nir Charny , Waqas Syed Ahmed , Hoi Cheung Pang , Nishitkumar Ashokkumar Desai , Danny Guan , Ameet N. Vaswani , Shane Michael Wilson , Michael Vinod Zampani
Abstract: This disclosure describes, in part, systems for enabling physical retail stores and other facilities to implement automated-checkout techniques for the purchase of customizable and/or made-to-items items by customers of the stores and/or facilities. For example, the described systems may enable a retail store to implement technology where users are able to order customizable items from an ordering location, an inventory location, or an associate of the facility, and exit the store without performing manual checkout of the items. The systems described herein thus enable customized retail facilities, as opposed to a retail facility that allows automated-checkout only for prepackaged-type or otherwise non-customizable merchandise.
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公开(公告)号：US11482045B1
公开(公告)日：2022-10-25
申请号：US16799502
申请日：2020-02-24
Applicant: Amazon Technologies, Inc.
Inventor： Jaechul Kim , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Kartik Muktinutalapati , Shaonan Zhang , Hoi Cheung Pang , Dilip Kumar , Kushagra Srivastava , Gerard Guy Medioni , Daniel Bibireata
IPC: G06K9/00 , G06V40/20 , G06K9/62 , G06F17/16 , G06Q30/02 , G06N3/08 , G06N20/00 , G06V20/10 , G06V20/52
Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.
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公开(公告)号：US11907339B1
公开(公告)日：2024-02-20
申请号：US17811450
申请日：2022-07-08
Applicant: Amazon Technologies, Inc.
Inventor： Behjat Siddiquie , Tian Lan , Jayakrishnan Eledath , Hoi Cheung Pang
IPC: G06F18/2411 , G06V40/10 , G06N20/00 , G06F18/214 , G06F18/2413
CPC classification number: G06F18/2411 , G06F18/214 , G06F18/24147 , G06N20/00 , G06V40/103
Abstract: As agents move about a materials handling facility, tracklets representative of the position of each agent are maintained along with a confidence score indicating a confidence that the position of the agent is known. If the confidence score falls below a threshold level, image data of the agent associated with the low confidence score is obtained and processed to generate one or more embedding vectors representative of the agent at a current position. Those embedding vectors are then compared with embedding vectors of other candidate agents to determine a set of embedding vectors having a highest similarity. The candidate agent represented by the set of embedding vectors having the highest similarity score is determined to be the agent and the position of that candidate agent is updated to the current position, thereby re-identifying the agent.
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Patent Agency Ranking
公开(公告)号：US11922728B1
公开(公告)日：2024-03-05
申请号：US18049252
申请日：2022-10-24
Applicant: Amazon Technologies, Inc.
Inventor： Jaechul Kim , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Kartik Muktinutalapati , Shaonan Zhang , Hoi Cheung Pang , Dilip Kumar , Kushagra Srivastava , Gerard Guy Medioni , Daniel Bibireata
IPC: G06V40/20 , G06F17/16 , G06F18/2321 , G06N3/08 , G06N20/00 , G06Q30/0201 , G06V20/10 , G06V20/52
CPC classification number: G06V40/20 , G06F17/16 , G06F18/2321 , G06N3/08 , G06N20/00 , G06Q30/0201 , G06V20/10 , G06V20/52
Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.
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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
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.
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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
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.
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公开(公告)号：US11468698B1
公开(公告)日：2022-10-11
申请号：US16712914
申请日：2019-12-12
Applicant: Amazon Technologies, Inc.
Inventor： Jaechul Kim , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Kartik Muktinutalapati , Shaonan Zhang , Hoi Cheung Pang , Dilip Kumar , Kushagra Srivastava , Gerard Guy Medioni , Daniel Bibireata
Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.
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公开(公告)号：US11386306B1
公开(公告)日：2022-07-12
申请号：US16219870
申请日：2018-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Behjat Siddiquie , Tian Lan , Jayakrishnan Eledath , Hoi Cheung Pang
Abstract: As agents move about a materials handling facility, tracklets representative of the position of each agent are maintained along with a confidence score indicating a confidence that the position of the agent is known. If the confidence score falls below a threshold level, image data of the agent associated with the low confidence score is obtained and processed to generate one or more embedding vectors representative of the agent at a current position. Those embedding vectors are then compared with embedding vectors of other candidate agents to determine a set of embedding vectors having a highest similarity. The candidate agent represented by the set of embedding vectors having the highest similarity score is determined to be the agent and the position of that candidate agent is updated to the current position, thereby re-identifying the agent.
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