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公开(公告)号：US11851279B1
公开(公告)日：2023-12-26
申请号：US14501794
申请日：2014-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Ammar Chinoy , Sudarshan Narasimha Raghavan , Emilio Ian Maldonado , Daniel Bibireata , Nishitkumar Ashokkumar Desai
Abstract: Described is a system and method for collecting item and user information and utilizing that information to determine materials handling facility patterns, item trends and inventory location trends. User monitoring data for users located in a materials handling facility may include information identifying inventory locations approached by users, gaze directions of users, user dwell times, an identification of items picked by users, an identification of items placed by users, and/or in-transit times for items. This information may be aggregated and processed to determine materials handling facility patterns, item trends and/or inventory location trends.
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公开(公告)号：US11610248B1
公开(公告)日：2023-03-21
申请号：US16446537
申请日：2019-06-19
Applicant: Amazon Technologies, Inc.
Inventor： Subhrangshu Nandi , Emilio Ian Maldonado , Alexey Korobko
IPC: G06Q30/00 , G06Q30/0601 , G06F17/16 , G06K9/62
Abstract: Type ambiguity detection methods and systems are provided to predict a browse node classification for items in an electronic catalog and determine ambiguity between browse nodes based at least partly on the predicted browse node classifications for the items. For example, the type ambiguity detection system may identify a plurality of search queries previously submitted by users of the electronic catalog, determine a plurality of browse nodes that are frequently selected after submitting the search queries, determine items that consumers frequently view or purchase in connection with the search queries, input the items into a classifier, receive an output predicting a proper item type or browse node for a given item, and initiate an action in response to determining ambiguity.
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公开(公告)号：US10586203B1
公开(公告)日：2020-03-10
申请号：US14668626
申请日：2015-03-25
Applicant: Amazon Technologies, Inc.
Inventor： Emilio Ian Maldonado , Pranab Mohanty , Ammar Chinoy , Joachim Sebastian Stahl , David Allen Smith , Prithviraj Banerjee
Abstract: Described is a multiple-camera system and process for re-identifying a user located in a materials handling facility based on user patterns and/or descriptors representative of the user. In one implementation, a user pattern and/or a plurality of descriptors representative of a user are maintained as a position of a user is tracked through a materials handling facility. If the tracking of the user is lost, the last known position is stored with the user pattern and/or descriptors. If a new object is detected and confirmed to be a user, a user pattern and/or descriptors of the new object are compared with the stored user pattern and/or descriptors to determine if the new object is the user.
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公开(公告)号：US10552750B1
公开(公告)日：2020-02-04
申请号：US14581995
申请日：2014-12-23
Applicant: Amazon Technologies, Inc.
Inventor： Sudarshan Narasimha Raghavan , Emilio Ian Maldonado , David Allen Smith , Min Xu , Nishitkumar Ashokkumar Desai , Daniel Bibireata , Kevin Kar Wai Lai , Pahal Kamlesh Dalal
Abstract: Described is a multiple-camera system and process for disambiguating between multiple users and identifying which of the multiple users performed an event. For example, when an event is detected, user patterns near the location of the event are determined, along with touch points at the location of the event. User pattern orientation and/or arm trajectories between the event location and the user patterns may be determined and processed to disambiguate between multiple users and determine which user pattern is involved in the event.
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