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公开(公告)号：US09996818B1
公开(公告)日：2018-06-12
申请号：US15135384
申请日：2016-04-21
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
CPC classification number: G06Q10/087 , G06F17/30259 , G06F17/30268 , G06K9/4642
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：US11288539B1
公开(公告)日：2022-03-29
申请号：US16876762
申请日：2020-05-18
Applicant: Amazon Technologies, Inc.
Inventor： Ohil Krishnamurthy Manyam , Minmin Chen , Liefeng Bo , Xiaofeng Ren , Dilip Kumar
IPC: G06K9/62
Abstract: This disclosure describes a system for utilizing multiple image processing techniques to identify an item represented in an image. In some implementations, one or more image processing algorithms may be utilized to process a received image to generate item image information and compare the item image information with stored item image information to identify the item. When a similarity score identifying the similarity between the item image information and at least one of the stored item image information is returned, a determination may be made as to whether the similarity score is high enough to confidently identify the item. If it is determined that the similarity score is high enough to confidently identify the item, the other algorithms may be terminated and the determined identity of the item returned.
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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：US11042836B1
公开(公告)日：2021-06-22
申请号：US16435268
申请日：2019-06-07
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Michel Leonard Goldstein , Ramanathan Palaniappan , Fan Sun , Liefeng Bo , Ohil Krishnamurthy Manyam , Navid Shiee , Gerard Guy Medioni
Abstract: Items may be stowed in an inventory location, such as a shelf. An interaction may take place where one of the items is picked from or placed on the inventory location. Sensor data can be acquired from two or more sensors, such as cameras or weight sensors, configured to collect such sensor data for the inventory location. Hypotheses to describe interactions at the inventory location may be determined using sensor data from each different sensor. However, the confidence value for such hypotheses may not be reliable. Fusion of sensor data may be performed where sets of hypotheses from the different sensors are combined and the resulting hypotheses are more accurate.
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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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Patent Agency Ranking
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：US11829945B1
公开(公告)日：2023-11-28
申请号：US17304310
申请日：2021-06-17
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Michel Leonard Goldstein , Ramanathan Palaniappan , Fan Sun , Liefeng Bo , Ohil Krishnamurthy Manyam , Navid Shiee , Gerard Guy Medioni
CPC classification number: G06Q10/087 , G06Q10/00 , G06K7/14 , G06Q20/00 , G06Q20/20 , G06Q20/208
Abstract: An event at a shelf, such as a user interacting with items on the shelf, may be detected using sensors associated with the shelf. Hypotheses to describe the event are generated based on the collected sensor data. However, hypotheses determined based on only one type of sensor data may not have a confidence value that is sufficiently reliable. Hypotheses derived from different sensor types may be combined to generate new hypotheses that have higher confidence values. For example, hypotheses based on image data may be combined with hypotheses based on weight data to produce hypotheses with higher confidence values that are sufficiently reliable. A hypothesis, from the set of combined hypotheses, having the highest confidence value may then be used to describe the interaction at the shelf, such as identifying the item and quantity of item the user interacted with during the event.
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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：US11410119B1
公开(公告)日：2022-08-09
申请号：US15195964
申请日：2016-06-28
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Nikhil Chacko , Robert Crandall , Paul Eugene Munger , Liefeng Bo , Gerard Guy Medioni
Abstract: A user undertakes an event, such as adding, removing, or otherwise interacting with an item stowed at a fixture. Using successive samples of weight data that occur during an event, a plurality of vectors are generated that are indicative of a weight change and a location associated with the fixture. The vectors are processed to determine where within the fixture the event took place. Hypotheses are generated that describe predicted interactions involving predicted locations that correspond to those indicated by the vectors. The hypotheses are ranked and then one is selected as a solution. The predicted values associated with the selected hypothesis are then used to generate interaction data that indicates one or more types of item and quantities of the items that were added, removed, or otherwise handled by the user.
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公开(公告)号：US11232395B1
公开(公告)日：2022-01-25
申请号：US15199030
申请日：2016-06-30
Applicant: Amazon Technologies, Inc.
Inventor： Robert Crandall , Paul Eugene Munger , Nikhil Chacko , Liefeng Bo , Gerard Guy Medioni
Abstract: This disclosure describes techniques for removing noise from a signal to generate a modified signal, with the modified signal preserving any transitions of interest (e.g., sharp-edge discontinuities) present within the initial signal. In one example, the signal comprises a time-series signal with the time series representing a sequence of weight measurements from a scale device. In some examples, the scale device includes a platform that supports one or more physical items that may be selectively removed or added to. Here, the signal may include a sequence of step functions corresponding to changes in weight on the scale device (based on the removal or addition of items on the platform), plus corrupting noise from vibration. The techniques described herein may remove the corrupting noise, while preserving the sharp edges representing sudden changes in weight.
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