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公开(公告)号:US10268984B1
公开(公告)日:2019-04-23
申请号:US14500805
申请日:2014-09-29
Applicant: Amazon Technologies, Inc.
Inventor: Sudheer Babu Ramoji , Avishkar Misra , Yasser Baseer Asmi , Ohil Krishnamurthy Manyam , Gopi Prashanth Gopal , Long Xuan Nguyen , Sudarshan Narasimha Raghavan , Ramanathan Palaniappan , Nadya Dhalla
Abstract: This disclosure describes an item drop location for placing items that have been picked from an inventory location within a material handling facility but have not yet been transitioned from the materials handling facility and a return location for returning items that have been transitioned from the materials handling facility. Likewise, described is a system and method for identifying an item placed at a drop location or an item placed at a return location, processing the placed item and providing confirmation to a user that placed the item and facilitating a return of the item or a removal of the item from an item identifier list associated with the user.
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公开(公告)号:US10882692B1
公开(公告)日:2021-01-05
申请号:US16054329
申请日:2018-08-03
Applicant: Amazon Technologies, Inc.
Inventor: Avishkar Misra , Ohil Krishnamurthy Manyam , Ramanathan Palaniappan , Michel Leonard Goldstein , Raymond Wheekyun Lim
IPC: B65G1/02
Abstract: Described is a system and method for assisting users in properly placing and/or positioning items at inventory locations within a materials handling facility. In one example, a placement location may be distinguished for the user through use of illumination or other techniques to assist the user in quickly identifying the proper location at which to place the item. Likewise, a proper position of the item may be presented to the user to assist the user in properly positioning the item at the placement location.
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公开(公告)号:US12056658B1
公开(公告)日:2024-08-06
申请号:US17195439
申请日:2021-03-08
Applicant: Amazon Technologies, Inc.
Inventor: Sudheer Babu Ramoji , Avishkar Misra , Yasser Baseer Asmi , Ohil Krishnamurthy Manyam , Gopi Prashanth Gopal , Long Xuan Nguyen , Sudarshan Narasimha Raghavan , Ramanathan Palaniappan , Nadya Dhalla
IPC: G06Q10/087
CPC classification number: G06Q10/087
Abstract: This disclosure describes an item drop location for placing items that have been picked from an inventory location within a material handling facility but have not yet been transitioned from the materials handling facility and a return location for returning items that have been transitioned from the materials handling facility. Likewise, described is a system and method for identifying an item placed at a drop location or an item placed at a return location, processing the placed item and providing confirmation to a user that placed the item and facilitating a return of the item or a removal of the item from an item identifier list associated with the user.
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公开(公告)号:US10290040B1
公开(公告)日:2019-05-14
申请号:US14856149
申请日:2015-09-16
Applicant: Amazon Technologies, Inc.
Inventor: Avishkar Misra , Jody David Biggs
Abstract: The dimensionality of user data can be reduced in order to allow cross-category data to be used to determine recommendations, advertising, or other supplemental content within a specific category. A first reduction in dimensionality results from rolling up category nodes to higher-level nodes. User data for the higher-level nodes can be used to train a neural network, with a user signature being generated using node values from a hidden layer of the trained model. The user signature can then be used to train a category specific model in order to obtain category-specific recommendations, determine category-specific advertising, or select other supplemental content based at least in part upon cross-category data.
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公开(公告)号:US10068139B1
公开(公告)日:2018-09-04
申请号:US14578021
申请日:2014-12-19
Applicant: Amazon Technologies, Inc.
Inventor: Xiaofeng Ren , Avishkar Misra , Ohil Krishnamurthy Manyam , Liefeng Bo , Sudarshan Narasimha Raghavan , Christopher Robert Towers , Gopi Prashanth Gopal , Yasser Baseer Asmi
CPC classification number: G06K9/00771 , G06K9/6202 , G06K9/6212 , G06K9/6218 , G06Q10/087 , H04L67/10
Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.
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公开(公告)号:US11663829B1
公开(公告)日:2023-05-30
申请号:US17011866
申请日:2020-09-03
Applicant: Amazon Technologies, Inc.
Inventor: Xiaofeng Ren , Avishkar Misra , Ohil Krishnamurthy Manyam , Liefeng Bo , Sudarshan Narasimha Raghavan , Christopher Robert Towers , Gopi Prashanth Gopal , Yasser Baseer Asmi
IPC: G06V10/75 , G06V20/52 , H04L67/10 , G06Q10/087 , G06F18/23
CPC classification number: G06V20/52 , G06F18/23 , G06Q10/087 , G06V10/751 , G06V10/758 , H04L67/10
Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.
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公开(公告)号:US10789483B1
公开(公告)日:2020-09-29
申请号:US16195016
申请日:2018-11-19
Applicant: Amazon Technologies, Inc.
Inventor: Xiaofeng Ren , Avishkar Misra , Ohil Krishnamurthy Manyam , Liefeng Bo , Sudarshan Narasimha Raghavan , Christopher Robert Towers , Gopi Prashanth Gopal , Yasser Baseer Asmi
Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.
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公开(公告)号:US10671856B1
公开(公告)日:2020-06-02
申请号:US14578034
申请日:2014-12-19
Applicant: Amazon Technologies, Inc.
Inventor: Xiaofeng Ren , Ohil Krishnamurthy Manyam , Avishkar Misra , Liefeng Bo , Sudarshan Narasimha Raghavan , Christopher Robert Towers , Gopi Prashanth Gopal , Yasser Baseer Asmi
Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.
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公开(公告)号:US10169677B1
公开(公告)日:2019-01-01
申请号:US14578009
申请日:2014-12-19
Applicant: Amazon Technologies, Inc.
Inventor: Xiaofeng Ren , Liefeng Bo , Ohil Krishnamurthy Manyam , Avishkar Misra , Sudarshan Narasimha Raghavan , Christopher Robert Towers , Gopi Prashanth Gopal , Yasser Baseer Asmi
Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.
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10.
公开(公告)号:US11138631B1
公开(公告)日:2021-10-05
申请号:US14928761
申请日:2015-10-30
Applicant: Amazon Technologies, Inc.
Inventor: Evgeniy V. Perevodchikov , Paula Marie Despins , Gerard Gjonej , Avishkar Misra , Alman Ahmad Shibli
Abstract: Systems, methods, and computer-readable media are disclosed for predictive user segmentation modeling and browsing interaction analysis for digital advertising. In one embodiment, an example method may include identifying a target consumer segment, generating a predictive user behavior model for the target consumer segment based at least in part on selected user data, and receiving an indication that a user is browsing a website. Example methods may include generating a first customer score for the user using the predictive user behavior model in real-time, and determining that the first customer score meets a consumer segment modification threshold for the target consumer segment.
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