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公开(公告)号:US20230394831A1
公开(公告)日:2023-12-07
申请号:US18205077
申请日:2023-06-02
Applicant: Amazon Technologies, Inc.
Inventor: Ivan Stankovic , Joseph M Alyea , Jiajun Zhao , Kartik Muktinutalapati , Waqas Ahmed , Dilip Kumar , Danny Guan , Nishitkumar Ashokkumar Desai , Longlong Zhu
CPC classification number: G06V20/52 , G06T7/70 , G06V10/25 , G06V40/107 , G06K7/1413 , G06Q30/0633 , G06F18/24 , G06F18/2163 , G06T2207/30196 , G06T2207/30232
Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
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公开(公告)号:US20220171972A1
公开(公告)日:2022-06-02
申请号:US17106755
申请日:2020-11-30
Applicant: Amazon Technologies, Inc.
Inventor: Ivan Stankovic , Joseph M. Alyea , Jiajun Zhao , Kartik Muktinutalapati , Waqas Ahmed , Dilip Kumar , Danny Guan , Nishitkumar Ashokkumar Desai , Longlong Zhu
Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
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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: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:US11284041B1
公开(公告)日:2022-03-22
申请号:US15841240
申请日:2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor: Alessandro Bergamo , Pahal Kamlesh Dalal , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Marian Nasr Amin George , Jean Laurent Guigues , Gerard Guy Medioni , Kartik Muktinutalapati , Robert Matthias Steele , Lu Xia
Abstract: In a materials handling facility, events may be associated with users based on imaging data captured from multiple fields of view. When an event is detected at a location within the fields of view of multiple cameras, two or more of the cameras may be identified as having captured images of the location at a time of the event. Users within the materials handling facility may be identified from images captured prior to, during or after the event, and visual representations of the respective actors may be generated from the images. The event may be associated with one of the users based on distances between the users' hands and the location of the event, as determined from the visual representations, or based on imaging data captured from the users' hands, which may be processed to determine which, if any, of such hands includes an item associated with the event.
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公开(公告)号:US11030442B1
公开(公告)日:2021-06-08
申请号:US15841237
申请日:2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor: Alessandro Bergamo , Pahal Kamlesh Dalal , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Marian Nasr Amin George , Jean Laurent Guigues , Gerard Guy Medioni , Kartik Muktinutalapati , Robert Matthias Steele , Lu Xia
Abstract: In a materials handling facility, events may be associated with users based on imaging data captured from multiple fields of view. When an event is detected at a location within the fields of view of multiple cameras, two or more of the cameras may be identified as having captured images of the location at a time of the event. Users within the materials handling facility may be identified from images captured prior to, during or after the event, and visual representations of the respective actors may be generated from the images. The event may be associated with one of the users based on distances between the users' hands and the location of the event, as determined from the visual representations, or based on imaging data captured from the users' hands, which may be processed to determine which, if any, of such hands includes an item associated with the event.
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公开(公告)号:US12148218B2
公开(公告)日:2024-11-19
申请号:US18205077
申请日:2023-06-02
Applicant: Amazon Technologies, Inc.
Inventor: Ivan Stankovic , Joseph M Alyea , Jiajun Zhao , Kartik Muktinutalapati , Waqas Ahmed , Dilip Kumar , Danny Guan , Nishitkumar Ashokkumar Desai , Longlong Zhu
Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
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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:US11688170B2
公开(公告)日:2023-06-27
申请号:US17106755
申请日:2020-11-30
Applicant: Amazon Technologies, Inc.
Inventor: Ivan Stankovic , Joseph M Alyea , Jiajun Zhao , Kartik Muktinutalapati , Waqas Ahmed , Dilip Kumar , Danny Guan , Nishitkumar Ashokkumar Desai , Longlong Zhu
CPC classification number: G06V20/52 , G06F18/2163 , G06F18/24 , G06K7/1413 , G06Q30/0633 , G06T7/70 , G06V10/25 , G06V40/107 , G06T2207/30196 , G06T2207/30232
Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
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