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公开(公告)号:US11615663B1
公开(公告)日:2023-03-28
申请号:US14306669
申请日:2014-06-17
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Ammar Chinoy , Yasser Baseer Asmi
Abstract: Described are systems and techniques configured to authenticate a user upon entry to a facility. Prior to entry, the user may log in to a secure website with valid credentials, whereupon a login image of the user at the time of login is acquired. In one implementation, optically encoded data is generated which includes data representative of the login image, an acquisition timestamp, and an identifier value. At entry of the user to the facility, an entry image of the user's face, an image of the optically encoded data as presented on a display of a computing device in possession of the user, and an entry timestamp are acquired. By determining the timestamp is within a valid range of time and the data representative of the login image corresponds to the entry image, the user is authenticated to the identifier value.
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公开(公告)号:US11232509B1
公开(公告)日:2022-01-25
申请号:US16235317
申请日:2018-12-28
Applicant: Amazon Technologies, Inc.
Inventor: Muralidhar Koka , Sudarshan Narasimha Raghavan , Yasser Baseer Asmi , Ammar Chinoy , Korwin Jon Smith , Dilip Kumar
Abstract: This disclosure describes a system for assisting users in locating items from inventory locations and/or obtaining additional information about items. In some instances, a user may experience difficulty in locating an inventory item in a materials handling facility. By detecting one or more expressions presented by the user, an inventory management system may determine that assistance is to be provided to the user, determine and provide the appropriate assistance to the user.
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公开(公告)号:US10963835B1
公开(公告)日:2021-03-30
申请号:US16172377
申请日:2018-10-26
Applicant: Amazon Technologies, Inc.
Inventor: Frank Florian Liberato , Daniel Bibireata , Muralidhar Koka , Yasser Baseer Asmi , Nishitkumar Ashokkumar Desai
Abstract: 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: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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公开(公告)号:US10134004B1
公开(公告)日:2018-11-20
申请号:US14582015
申请日:2014-12-23
Applicant: Amazon Technologies, Inc.
Inventor: Frank Florian Liberato, Jr. , Daniel Bibireata , Muralidhar Koka , Yasser Baseer Asmi , Nishitkumar Ashokkumar Desai
Abstract: 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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