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公开(公告)号：US11301984B1
公开(公告)日：2022-04-12
申请号：US16022439
申请日：2018-06-28
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Dilip Kumar , Nikhil Chacko , Nishitkumar Ashokkumar Desai , Jayakrishnan Kumar Eledath , Gopi Prashanth Gopal , Gerard Guy Medioni , Kushagra Srivastava
Abstract: Sensors in a facility obtain sensor data about a user's interaction with a fixture, such as a shelf. The sensor data may include images such as obtained from overhead cameras, weight changes from weight sensors at the shelf, and so forth. Based on the sensor data, one or more hypotheses that indicate the items and quantity may be determined and assessed. The hypotheses may be based on information such as the location of a user and where their hands are, weight changes, physical layout data indicative of where items are stowed, cart data indicative of what items are in the possession of the user, and so forth. A hypothesis having a greatest confidence value may be deemed to be representative of the user's interaction, and interaction data indicative of the item and quantity may be stored.
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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：US10466092B1
公开(公告)日：2019-11-05
申请号：US14576263
申请日：2014-12-19
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Navid Shiee , Kun Qian , Gopi Prashanth Gopal , Ohil Krishnamurthy Manyam , Connor Spencer Blue Worley
Abstract: Described are systems for processing sensor data obtained from a sensor such as a weight sensor. In one implementation, a line may be fit to a set of sensor data occurring during a window of time. A slope value of the line may be calculated and provided as input to a change detector. The change detector may implement a cumulative sum (CUSUM) algorithm to determine when the slope value is indicative of a stable or unstable state. Values of sensor data associated with times indicated as having a stable state may be used to determine weight data.
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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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Patent Agency Ranking
公开(公告)号：US11994928B1
公开(公告)日：2024-05-28
申请号：US17224754
申请日：2021-04-07
Applicant: Amazon Technologies, Inc.
Inventor： Rachid M Alameh , Andre David Brown , Gopi Prashanth Gopal , Stephen Ernest O'Dea
IPC: G06F1/3231 , B62B5/00 , G01D5/24
CPC classification number: G06F1/3231 , B62B5/00 , G01D5/24
Abstract: This disclosure describes, in part, a mobile apparatus that includes capacitive sensor(s) for detecting the presence of a user. For instance, the mobile apparatus, such as a shopping cart, may include capacitive sensor(s) located proximate to a main frame, the handles, and/or the wheel frame. The mobile apparatus may use one or more of these capacitive sensor(s) to determine that the user is located proximate to the mobile apparatus, in contact with the mobile apparatus, and/or located over the main frame of the mobile apparatus. In some examples, the mobile apparatus may then perform one or more actions based on the presence of the user. For example, the mobile apparatus may activate and/or deactivate one or more devices based on the presence of the user. This way, the mobile apparatus is able to conserve power by using the capacitive sensor(s) to detect the present of the user.
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公开(公告)号：US11599811B1
公开(公告)日：2023-03-07
申请号：US16022338
申请日：2018-06-28
Applicant: Amazon Technologies, Inc.
Inventor： Paul Aksenti Savastinuk , Roman Talyansky , Michael Dillon , Eli Osherovich , Gopi Prashanth Gopal
IPC: G06N5/04 , G06Q10/08 , 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：US11436557B1
公开(公告)日：2022-09-06
申请号：US15939063
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 on a shelf or other fixture. Weight changes occur as items are picked from or placed to the fixture. Output from the load cells is processed to produce denoised data. The denoised data is processed to determine event data representative of a pick or a place of an item. Hypotheses are generated using information about where particular types of items are stowed, the weights of those particular types of items, and the event data. A high scoring hypothesis is used to determine interaction data indicative of the type and quantity of an item that was added to or removed from the fixture. If ambiguity exists between hypotheses, additional techniques such as data about locations of weight changes and fine grained analysis may be used to determine the interaction data.
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公开(公告)号：US11308442B1
公开(公告)日：2022-04-19
申请号：US15939080
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 , B65G1/137 , G01G19/42 , G06Q20/20
Abstract: Sensor data from load cells at a shelf is processed using a first time window to produce first event data describing coarse and sub-events. Location data is determined that indicates where on the shelf weight changes occurred at particular times. Hypotheses are generated using information about where items are stowed, weights of those of items, type of event, and the location data. If confidence values of these hypotheses are below a threshold value, second event data is determined by merging adjacent sub-events. This second event data is then used to determine second hypotheses which are then assessed. A hypothesis with a high confidence value is used to generate interaction data indicative of picks or places of particular quantities of particular types of items from the shelf.
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公开(公告)号：US11164148B1
公开(公告)日：2021-11-02
申请号：US17073791
申请日：2020-10-19
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Gopi Prashanth Gopal , Kun Qian , Ramanathan Palaniappan , Navid Shiee , Jack G. Song
IPC: G06Q10/00 , G06Q10/08 , G01G19/387
Abstract: An inventory location, such as a shelf, may be used to stow different types of items in different areas of the shelf. Interactions may take place, such as the pick or place of items from the shelf. Weight data acquired from weight sensors at the shelf may be used to generate a set of hypotheses to describe types and quantities of items added to or removed from the shelf during an interaction. One or more of these hypotheses may be eliminated from consideration or selected as a solution based on activity data related to the shelf. The activity data is based on non-weight data from a non-weight sensor associated with the shelf. As an example, image data from a camera directed to the shelf can help identify presence of a user or a change in appearance at an area of the shelf to help evaluate hypotheses.
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