公开(公告)号：US20240119735A1

公开(公告)日：2024-04-11

申请号：US17963787

申请日：2022-10-11

Applicant: Walmart Apollo, LLC

Inventor： Lingfeng Zhang ,  Mingquan Yuan ,  Paul Lewis Lobo ,  Avinash M. Jade ,  Zhichun Xiao ,  William Craig Robinson, JR. ,  Zhaoliang Duan ,  Wei Wang ,  Han Zhang ,  Raghava Balusu ,  Tianyi Mao

IPC: G06V20/52 ,  G06Q10/08 ,  G06V20/00

CPC classification number: G06V20/52 ,  G06Q10/087 ,  G06V20/36

Abstract: Systems and methods of monitoring inventory of a product storage facility include an image capture device configured to move about the product storage areas of the product storage facility and capture images of the product storage areas from various angles. A computing device coupled to the image capture device obtains the images of the product storage areas captured by the image capture device and processes the obtained images of the product storage areas to detect individual products captured in the obtained images. Based on detection of the individual products captured in the images, the computing device analyzes each of the obtained images to detect one or more adjacent product storage structures (shelves, pallets, etc.) and identifies and selects a single image that fully shows a product storage structure of interest and fully shows each of the products stored on the product storage structure of interest.

公开(公告)号：US20200065876A1

公开(公告)日：2020-02-27

申请号：US16546967

申请日：2019-08-21

Applicant: Walmart Apollo, LLC

Inventor： Scott MacKenzie ,  Luis Fernando Jover ,  Avinash M. Jade ,  Mohit Batham

IPC: G06Q30/06 ,  G06N20/10 ,  G06K9/62

Abstract: Systems and methods for item price assignment. A line recommendation engine receives unassigned records from a queue and stores one or more line recommendations for the unassigned item record in a recommendation database. The line recommendation engine can determine a new line should be recommended, and/or which existing lines the unassigned item record could be assigned to. A user interface can display the one or more line recommendations for the unassigned item record to a user and receive an input indicating a selected line identifier for the unassigned item record. A machine learning engine can modify a parameter of the line recommendation engine based on the selected line identifier.

公开(公告)号：US20240265565A1

公开(公告)日：2024-08-08

申请号：US18165152

申请日：2023-02-06

Applicant: Walmart Apollo, LLC

Inventor： Han Zhang ,  Yilun Chen ,  Lingfeng Zhang ,  Adam Cantor ,  Avinash M. Jade ,  Benjamin R. Ellison ,  William Craig Robinson, JR. ,  Mingquan Yuan ,  Zhaoliang Duan ,  Wei Wang

IPC: G06T7/70 ,  G06T7/50 ,  G06V10/25 ,  G06V10/762

CPC classification number: G06T7/70 ,  G06T7/50 ,  G06V10/25 ,  G06V10/762 ,  G06V2201/07

Abstract: In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects at a product storage facility including a trained machine learning model stored in a memory; and a control circuit. The control circuit may obtain an image at the product storage facility; cluster objects depicted in the image that have same product identifiers into a corresponding group; determine coordinates of each bounding box of each clustered object in the corresponding group; determine a bounding box representative depth value of pixels inside the bounding box of each clustered object; determine an overall representative depth value of the corresponding group based on bounding box representative depth values of clustered objects; and exclude the clustered objects from identified objects in the image upon a determination that the overall representative depth value is greater than a threshold.

公开(公告)号：US20240257047A1

公开(公告)日：2024-08-01

申请号：US18161788

申请日：2023-01-30

Applicant: WALMART APOLLO, LLC

Inventor： Raghava Balusu ,  Siddhartha Chakraborty ,  Ashlin Ghosh ,  Avinash M. Jade ,  Lingfeng Zhang ,  Amit Jhunjhunwala

IPC: G06Q10/087 ,  G06V10/762

CPC classification number: G06Q10/087 ,  G06V10/762

Abstract: In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects including a memory and a control circuit executing a trained machine learning model. The memory may be configured to store a plurality of images comprising first images and second images. The control circuit may be configured to: allocate each of the first images into one of a plurality of datasets; cluster each image in the dataset into one of a plurality of groups; select a sample from at least one of the plurality of groups; cluster each of the second images into one of dominant product identifier group and a non-dominant product identifier group; select a sample from the dominant product identifier group and a sample from the non-dominant product identifier group; and output the selected sample.

公开(公告)号：US20240249524A1

公开(公告)日：2024-07-25

申请号：US18158969

申请日：2023-01-24

Applicant: Walmart Apollo, LLC

Inventor： Zhaoliang Duan ,  Benjamin R. Ellison ,  Lingfeng Zhang ,  Avinash M. Jade ,  Raghava Balusu ,  Mingquan Yuan ,  Zhichun Xiao

IPC: G06V20/50 ,  G06F16/538 ,  G06V10/50 ,  G06V10/75 ,  G06V20/62

CPC classification number: G06V20/50 ,  G06F16/538 ,  G06V10/50 ,  G06V10/751 ,  G06V20/63 ,  G06Q10/087

Abstract: Systems and methods of detecting and recognizing products on product storage structures of a product storage facility include an image capture device that moves about and captures images of the product storage structures at the product storage facility. A computing device processes the obtained images to detect and identify the products on the product storage structure, crops each of the identified individual products from the image to generate a plurality of cropped images and generates an image histogram template, feature vector template and location information template for each of the cropped images. The cropped images are stored in an electronic database and represent a reference model for each of the identified individual products and are stored in association with the generated image histogram template, feature vector template and location information template to facilitate recognition of products subsequently captured on the product storage structure by the image capture device.

公开(公告)号：US20240249506A1

公开(公告)日：2024-07-25

申请号：US18158950

申请日：2023-01-24

Applicant: WALMART APOLLO, LLC

Inventor： Ishan Arora ,  Raghava Balusu ,  Avi Raj ,  Abhinav Pachauri ,  Han Zhang ,  Mingquan Yuan ,  Avinash M. Jade ,  Lingfeng Zhang ,  Srinivas Muktevi ,  Amit Jhunjhunwala ,  Siddhartha Chakraborty

IPC: G06V10/774 ,  G06V10/762 ,  G06V10/764 ,  G06V10/776 ,  G06V10/94 ,  G06V20/70 ,  G06V30/19

CPC classification number: G06V10/774 ,  G06V10/762 ,  G06V10/764 ,  G06V10/776 ,  G06V10/945 ,  G06V20/70 ,  G06V30/19007 ,  G06V10/82

Abstract: In some embodiments, apparatuses and methods are provided herein useful to labeling objects in captured images. In some embodiments, there is provided a system for labeling objects in images captured at a product storage facility including a control circuit and a user interface. The control circuit is configured to select a set of unprocessed images; receive a selected configuration based on data resulting from iteratively processing the set of unprocessed images; cluster each unprocessed image into a corresponding group based on the selected configuration; select a plurality of clustered images from each of the plurality of groups; and output the plurality of clustered images from each group. The user interface is configured to: display each clustered image; and receive a user input labeling one or more objects shown in each clustered image resulting in a labeled dataset used to train a machine learning model.

公开(公告)号：US11907991B2

公开(公告)日：2024-02-20

申请号：US16546967

申请日：2019-08-21

Applicant: Walmart Apollo, LLC

Inventor： Scott MacKenzie ,  Luis Fernando Jover ,  Avinash M. Jade ,  Mohit Batham

IPC: G06Q30/00 ,  G06Q30/0601 ,  G06N20/10 ,  G06F18/2413

CPC classification number: G06Q30/0627 ,  G06F18/24147 ,  G06N20/10

Abstract: Systems and methods for item price assignment. A line recommendation engine receives unassigned records from a queue and stores one or more line recommendations for the unassigned item record in a recommendation database. The line recommendation engine can determine a new line should be recommended, and/or which existing lines the unassigned item record could be assigned to. A user interface can display the one or more line recommendations for the unassigned item record to a user and receive an input indicating a selected line identifier for the unassigned item record. A machine learning engine can modify a parameter of the line recommendation engine based on the selected line identifier.