公开(公告)号：US20220122137A1

公开(公告)日：2022-04-21

申请号：US17563412

申请日：2021-12-28

Applicant: Trax Technology Solutions Pte Ltd.

Inventor： Yair Adato ,  Nir Hemed ,  Dolev Pomeranz

IPC: G06Q30/06

Abstract: Methods, systems, and computer-readable media are provided for customized presentation of items on electronic visual displays in retail stores. In one implementation, a method may comprise: obtaining a plurality of images of products in a retail store captured; analyzing a first image to determine whether products of a particular product type are available at a first point in time; analyzing a second image to determine whether products of the particular product type are available at a second point in time; based on the determination of whether products of the particular product type are available at the first point in time and the determination of whether products of the particular product type are available at the second point in time, selecting at least one display parameter for a particular item; and using the selected at least one display parameter to display the particular item on an electronic visual display.

公开(公告)号：US10671834B2

公开(公告)日：2020-06-02

申请号：US16354601

申请日：2019-03-15

Applicant: Trax Technology Solutions Pte Ltd.

Inventor： Yair Adato ,  Aviv Eisenschtat ,  Dolev Pomeranz ,  Ziv Mhabary ,  Daniel Shimon Cohen ,  Osnat Yanushevsky

IPC: G06K9/00 ,  G06Q20/20 ,  H04N5/232 ,  G06Q10/08 ,  G06F16/583 ,  G06T7/73 ,  G06F16/23 ,  G06F16/28 ,  G06K9/62 ,  G06Q30/06 ,  G06T7/70 ,  G06Q10/06 ,  G06T7/00 ,  G06T7/20 ,  G06T7/55 ,  G06T7/521 ,  H04N5/225 ,  H04N5/247 ,  G06F16/55 ,  G06F17/18 ,  G06Q50/28 ,  G08B21/18 ,  G06K9/32 ,  G06F16/903 ,  G06T7/13

Abstract: A system for processing images captured in a retail store is provided. The system may include a processor configured to: access a database storing a group of product models; receive an image depicting at least part of a store shelf having a plurality of products of a same type displayed thereon; analyze the image and determine a first candidate type of the products based on the group of product models and the image analysis; determine a first confidence level associated with the first candidate type; when the first confidence level is below a confidence threshold, determine a second candidate type of the products using contextual information; determine a second confidence level associated with the determined second candidate type of the plurality of products; and when the second confidence level is above the confidence threshold, initiate an action to update the group of product models stored in the database.