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公开(公告)号:US11468400B1
公开(公告)日:2022-10-11
申请号:US15938992
申请日:2018-03-28
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Dilip Kumar , Liefeng Bo , Nikhil Chacko , Robert Crandall , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Gopi Prashanth Gopal , Gerard Guy Medioni , Paul Eugene Munger , Kushagra Srivastava
IPC: G06Q10/08 , G01G19/387 , G06N7/00 , G01G19/40
Abstract: One or more load cells measure the weight of items at a fixture. Weight changes occur as items are picked from or placed to the fixture and may be used to determine when the item was picked or placed, quantity and so forth. Individual weights for a type of item may vary. A set of data comprising weight changes associated with interactions involving a single one of a particular type of item is gathered. These may be weight changes due to picks, places, or both. A model, such as a probability distribution, may be created that relates a particular weight of that type of item to a probability. The model may then be used to process other weight changes and attempt to determine what type of item was involved in an interaction.
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公开(公告)号:US11263583B1
公开(公告)日:2022-03-01
申请号:US15939061
申请日:2018-03-28
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Dilip Kumar , Liefeng Bo , Nikhil Chacko , Robert Crandall , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Gopi Prashanth Gopal , Gerard Guy Medioni , Paul Eugene Munger , Kushagra Srivastava
Abstract: Load cells measure the weight of items on a shelf. Weight changes occur as items are picked from or placed to the fixture. Information about these weight changes is used to determine an estimated location on the shelf of a weight change. Hypotheses are generated using information about where particular types of items are stowed, the weights of those particular types of items, information about the weight changes, and the estimated locations of the weight changes. A model is used to produce confidence values in the hypotheses based on a change in weight measured at a first side and a change in weight measured at a second side of the shelf. A hypothesis with a confidence value that exceeds the threshold may be selected and used to determine interaction data indicative of a quantity picked or placed, type of item, and location on the shelf.
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公开(公告)号:US11034516B1
公开(公告)日:2021-06-15
申请号:US16510606
申请日:2019-07-12
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Navid Shiee , Michel Leonard Goldstein , Ramanathan Palaniappan , Gopi Prashanth Gopal , Xiaofeng Ren , Ohil Krishnamurthy Manyam , Christopher Robert Towers , Yasser Baseer Asmi
Abstract: An item stowed at an inventory location may rest or be supported by a surface, such as a shelf, that includes an optical sensor array. The optical sensor array comprises a plurality of optical sensors that detect light intensity values. When a light source illuminates the item resting on the surface, a footprint or shadow is cast by the item onto the surface. Such a shadow is detected by the light intensity values at the optical sensors in the optical sensor array. Once the shadow is detected, information about the area, shape, and perimeter of the shadow can be determined and saved as footprint data for a single item. Such a process can be performed at intake of the item to the facility and later accessed to determine a quantity of the item on a shelf of a facility.
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公开(公告)号:US12060099B1
公开(公告)日:2024-08-13
申请号:US17521633
申请日:2021-11-08
Applicant: Amazon Technologies, Inc.
Inventor: Gregory Hager , Andre David Brown , Ejaz Ahmed , Gopi Prashanth Gopal
IPC: B62B5/00 , B62B3/14 , G06Q10/087 , G06Q30/0601
CPC classification number: B62B5/0096 , B62B3/1424 , G06Q10/087 , G06Q30/0633 , G06Q30/0641 , B62B2203/50 , B62B2501/00
Abstract: This disclosure describes, in part, a mobile apparatus for identifying items within a facility using an omnidirectional imaging system. For instance, the mobile apparatus may include a main frame, a chassis attached to the main frame, a basket that attaches to the chassis in order to prevent the basket from contacting the main frame, and an omnidirectional imaging system providing image data in and around the mobile apparatus. A user may place item(s) within a receptacle of the basket. The mobile apparatus may further include a handlebar module attached to the main frame, the handlebar module including the omnidirectional imaging system and a computing system for identifying items and events in and around the cart.
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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:US11880779B1
公开(公告)日:2024-01-23
申请号:US18117680
申请日:2023-03-06
Applicant: Amazon Technologies, Inc.
Inventor: Paul Aksenti Savastinuk , Roman Talyansky , Michael Dillon , Eli Osherovich , Gopi Prashanth Gopal
IPC: G06N5/04 , G06Q10/087 , G06N20/00
CPC classification number: G06N5/041 , G06N20/00 , G06Q10/087
Abstract: This disclosure describes systems and techniques for detecting events, determining a result of each respective event using a first hypothesis source, and calculating a likelihood that a second (and/or additional) hypothesis source would determine the same result of the respective event. The calculated likelihood may then be used to be determine whether to request that the second hypothesis source determine the result of the event, determine an amount of resources of the second hypothesis source to use to make this determination, and/or like.
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公开(公告)号:US11195140B1
公开(公告)日:2021-12-07
申请号:US15703302
申请日:2017-09-13
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Paul Eugene Munger , Jayakrishnan Kumar Eledath , Daniel Bibireata , Gopi Prashanth Gopal , Liefeng Bo
Abstract: A user may pick an item from a first inventory location, such as in a lane on a shelf, and may return it another location that is assigned to another type of item. Described are techniques to generate tidiness data that is indicative of whether an item has been returned to an inventory location assigned to that type of item. As items are taken, information about the type of item taken and its weight are stored. When an increase in weight at a lane indicates a return of an item to the lane, the weight of the return is compared to the stored weight of the items previously taken by a user. If the weights correspond to within a threshold value, the type of item associated with the stored weight is deemed to be returned and tidiness data indicative of a tidy return of the item to its appointed lane may be generated.
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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:US12131288B1
公开(公告)日:2024-10-29
申请号:US17457590
申请日:2021-12-03
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: Paul Eugene Munger , Jayakrishnan Kumar Eledath , Daniel Bibireata , Gopi Prashanth Gopal , Liefeng Bo
IPC: G06Q10/087 , G06Q20/20
CPC classification number: G06Q10/087 , G06Q20/208
Abstract: Tidiness data associated with an inventory location, such as a shelf, indicates whether an item returned to the inventory location is designated for storage at the inventory location. When an item is returned to the inventory location and a user is determined to be near the inventory location, the weight change detected at the inventory location is compared to a corresponding weight of each item in the custody of the user, such as items within cart state data associated with the user. Differences in weight between the weight change and the corresponding weight of each item in the custody of the user are calculated. Such differences may then be compared to one or more metrics, such as threshold values, to determine how well the top candidate item in the custody of the user matches the type of item designated for storage at the inventory location.
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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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