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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
发明人： Jaechul Kim , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Kartik Muktinutalapati , Shaonan Zhang , Hoi Cheung Pang , Dilip Kumar , Kushagra Srivastava , Gerard Guy Medioni , Daniel Bibireata
摘要： 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：US11922728B1
公开(公告)日：2024-03-05
申请号：US18049252
申请日：2022-10-24
发明人： 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分类号： G06V40/20 , G06F17/16 , G06F18/2321 , G06N3/08 , G06N20/00 , G06Q30/0201 , G06V20/10 , G06V20/52
CPC分类号： G06V40/20 , G06F17/16 , G06F18/2321 , G06N3/08 , G06N20/00 , G06Q30/0201 , G06V20/10 , G06V20/52
摘要： 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：US11412185B1
公开(公告)日：2022-08-09
申请号：US17128774
申请日：2020-12-21
发明人： Emilio Ian Maldonado , Daniel Bibireata , Nishitkumar Ashokkumar Desai , Yasser Baseer Asmi , Xiaofeng Ren , Jaechul Kim
摘要： Sensors in a facility generate sensor data associated with a region of the facility, which can be used to determine a 3D location of an object in the facility. Some sensors may sense overlapping regions of the facility. For example, a first sensor may generate data associated with a first region of the facility, while a second sensor may generate data associated with a second region of the facility that partially overlaps the first region. Sensors may fail at times as determined from sensor output data or status data. In response to identifying a failed sensor, an undetected region corresponding to the failed sensor is identified, as well as a substitute sensor that partially senses the undetected region. Sensor data from the substitute sensor, such as 2D data, is acquired and used to estimate a 3D location of an object in the undetected region.
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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
发明人： 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分类号： G06K9/00 , G06V40/20 , G06K9/62 , G06F17/16 , G06Q30/02 , G06N3/08 , G06N20/00 , G06V20/10 , G06V20/52
摘要： 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：US10291862B1
公开(公告)日：2019-05-14
申请号：US14581986
申请日：2014-12-23
发明人： Frank Florian Liberato , Sudarshan Narasimha Raghavan , Emilio Ian Maldonado , Muralidhar Koka , Ammar Chinoy , Daniel Bibireata , Yasser Baseer Asmi , Hao Jiang , Jaechul Kim , Nishitkumar Ashokkumar Desai
摘要： Described is a multiple-camera system for use in capturing images of users within a materials handling facility and processing those images to monitor the movement of users. For large materials handling facilities, a large number of cameras may be required to monitor the facility. Processing of the data generated from a large number of cameras becomes difficult. The implementations described herein include a hierarchy that allows image data from any number of cameras within a materials handling facility to be processed without substantially increasing the processing time needed or sacrificing processing capabilities.
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公开(公告)号：US11468681B1
公开(公告)日：2022-10-11
申请号：US16022221
申请日：2018-06-28
发明人： Dilip Kumar , Jaechul Kim , Kushagra Srivastava , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Gerard Guy Medioni , Daniel Bibireata
摘要： 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 sets of 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：US10679177B1
公开(公告)日：2020-06-09
申请号：US14668591
申请日：2015-03-25
摘要： Described is a multiple-camera system and process for detecting a user within a materials handling facility and tracking a position of the user as the user moves through the materials handling facility. In one implementation, a plurality of depth sensing cameras are positioned above a surface of the materials handling facility and oriented to obtain an overhead view of the surface of the materials handling facility, along with any objects (e.g., users) on the surface of the materials handling facility. The depth information from the cameras may be utilized to detect objects on the surface of the materials handling facility, track a movement of those objects and determine if those objects are users.
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