公开(公告)号：US20240257380A1

公开(公告)日：2024-08-01

申请号：US18103338

申请日：2023-01-30

Applicant: Walmart Apollo, LLC

Inventor： Wei Wang ,  Lingfeng Zhang ,  Han Zhang ,  Avinash M. Jade ,  Mingquan Yuan ,  Zhaoliang Duan ,  Siddhartha Chakraborty ,  Benjamin R. Ellison ,  William Craig Robinson, JR. ,  Eric W. Rader

IPC: G06T7/70 ,  B25J5/00 ,  G06T7/90 ,  G06V10/10 ,  G06V10/56

CPC classification number: G06T7/70 ,  B25J5/007 ,  G06T7/90 ,  G06V10/16 ,  G06V10/56 ,  G06T2207/10024 ,  G06V2201/07

Abstract: Systems and methods of detecting support members of product storage structures that store products at a product storage facility include an image capture device that captures images of a product storage structure including vertical and horizontal support members. A computing device including a control circuit is configured to: obtain the images of the product storage structure captured by the image capture device, stitch the obtained images together to generate a stitched image that depicts the product storage structure, generate a color distribution map of the stitched image of the product storage structure to detect individual ones of the horizontal and vertical support members of the product storage structure.

公开(公告)号：US20240249505A1

公开(公告)日：2024-07-25

申请号：US18158925

申请日：2023-01-24

Applicant: WALMART APOLLO, LLC

Inventor： Raghava Balusu ,  Avinash M. Jade ,  Lingfeng Zhang ,  William C. Robinson, JR. ,  Benjamin R. Ellison ,  Srinivas Muktevi ,  Amit Jhunjhunwala ,  Zhaoliang Duan ,  Siddhartha Chakraborty ,  Ashlin Ghosh ,  Mingquan Yuan

IPC: G06V10/774 ,  G06V10/74 ,  G06V10/94 ,  G06V20/50

CPC classification number: G06V10/774 ,  G06V10/761 ,  G06V10/945 ,  G06V20/50 ,  G06V10/82

Abstract: In some embodiments, apparatuses and methods are provided herein useful to processing captured images of objects at a product storage facility. In some embodiments, there is provided a system for processing captured images of objects including a trained machine learning model and a control circuit. In some embodiments, the trained machine learning model is configured to process unprocessed captured images. In some embodiments, the control circuit is configured to associate each of the processed images into one of a first group, a second group, or a third group; remove at least one processed image associated with the first group from the processed images in accordance with a first processing rule; and output remaining processed images associated with the first group and processed images associated with the second group to be used to retrain the trained machine learning model.

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：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.