公开(公告)号：US10984205B1

公开(公告)日：2021-04-20

申请号：US16127000

申请日：2018-09-10

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Ejaz Ahmed ,  Jeremy Samuel De Bonet ,  Oded Maron ,  Mirko Ristivojevic

IPC: G06K7/10 ,  G06K7/14

Abstract: A tag comprises cells represented by marks, such as white and black, arranged in a predetermined pattern. Reference cells are used to determine the edges of the tag and orientation, while others are used to encode data and error correction data. During processing, a tag is detected based on a variability metric within a given region of an image exceeding a threshold value. Once detected, the orientation of the tag is determined using the reference cells. Confidence values, indicative of a likelihood that the cell is a particular cell value, such as white or black, are determined for each cell in a first set of cell values. If the first set is invalid, the cell values for a set of lowest confidence cell values are inverted to produce a second set of cell values. The second set is tested, and if valid, is used to produce output data.

公开(公告)号：US12094203B1

公开(公告)日：2024-09-17

申请号：US17348029

申请日：2021-06-15

Applicant: Amazon Technologies, Inc.

Inventor： Abhay Doke ,  Ejaz Ahmed ,  Austen Groener

IPC: G06V20/40 ,  G06F18/241 ,  G06K7/14 ,  G06V30/14 ,  G06V30/19

CPC classification number: G06V20/40 ,  G06F18/241 ,  G06K7/1413 ,  G06V30/14 ,  G06V30/19

Abstract: This disclosure describes, in part, techniques for collecting image data representing item identifiers, such as barcodes. For instance, system(s) may receive image data representing images, where the images depict at least a portion of an identifier located on an item. The system(s) may then identify a first portion of the image data representing an image that that is associated a low confidence level. Next, the system(s) may identify a second portion of the image data representing additional images that are associated high confidence levels. Using results for this the second portion of the image data, the system(s) may determine a ground truth result for the first portion of the image data. The system(s) may then store, in one or more databases, data representing the ground truth result in association with the first portion of the image data.

公开(公告)号：US11847860B1

公开(公告)日：2023-12-19

申请号：US17867171

申请日：2022-07-18

Applicant: Amazon Technologies, Inc.

Inventor： Oded Maron ,  Jeremy Samuel De Bonet ,  Mirko Ristivojevic ,  Ejaz Ahmed ,  Kilho Son

IPC: G06V40/20 ,  G06T7/246 ,  G06T7/73 ,  G06Q30/0601 ,  G06V10/25 ,  G06F18/24 ,  H04N23/54

CPC classification number: G06V40/20 ,  G06F18/24 ,  G06Q30/0601 ,  G06T7/248 ,  G06T7/74 ,  G06V10/25 ,  H04N23/54 ,  G06T2207/30196 ,  G06T2207/30241

Abstract: This disclosure is directed to, in part, a processing pipeline for detecting predefined activity using image data, identifying an item-of-interest and a location of the item-of-interest across frames of the image data, determining a trajectory of the item-of-interest, and determining an identifier of the item-of-interest and an action taken with respect to the item-of-interest. The processing pipeline may utilize one or more trained classifiers and, in some instances, additional data to identify items that are placed into or removed from a tote (e.g., basket, cart, or other receptacle) by users in material handling facilities as the users move around the material handling facilities.

公开(公告)号：US11430044B1

公开(公告)日：2022-08-30

申请号：US16355598

申请日：2019-03-15

Applicant: Amazon Technologies, Inc.

Inventor： Oded Maron ,  Jeremy Samuel De Bonet ,  Daniel Ron ,  Ejaz Ahmed ,  Mirko Ristivojevic ,  Jonathan Cohn

IPC: G06Q30/06 ,  H04W4/33 ,  H04W4/02 ,  H04W4/38 ,  G06V10/40 ,  G06V10/75 ,  G06V20/00 ,  G06T7/60 ,  G06T7/90 ,  G06T7/50 ,  G06V30/10

Abstract: This disclosure is directed to using cascading algorithms to automatically identify items placed in a tote or other receptacle utilized by users in material handling facilities as the users move around the facilities. A tote may store a database or “gallery” of item representations for all of the items that are stored in the facility that a user may place in their totes. The tote may use multiple algorithms in a cascading manner to analyze the gallery of item representations in order to iteratively narrow the search space of item representations in the gallery to determine which of the items was placed in the tote by a user. Upon identifying the item placed in the tote, the tote may add an item identifier for the item to a virtual listing of item identifiers representing items previously placed in the tote.

公开(公告)号：US10963659B1

公开(公告)日：2021-03-30

申请号：US16455030

申请日：2019-06-27

Applicant: Amazon Technologies, Inc.

Inventor： Ejaz Ahmed ,  Oded Maron ,  Jeremy Samuel De Bonet ,  Daniel Ron ,  Sajjad Beygiharchegani

IPC: G06K7/14 ,  G06T7/11 ,  G06K9/62

Abstract: This disclosure describes using trained classifiers and additional data to identify items placed into a tote. The techniques may use a first classifier on image data representing an item to determine a region associated with a barcode of the item and may use one or more second classifiers to analyze the region for determining a candidate barcode. The techniques may then determine whether the candidate barcode corresponds to the actual barcode of the item. If so, the techniques may update a virtual cart associated with a user account to indicate the acquisition of the item. If not, then the techniques may use the additional data for identifying the item. For example, the techniques determine a current location of a tote for determining items that are within a threshold distance of the location and may use this information, along with the candidate barcode, to identify the item placed into the tote.