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Varied Detail Levels of Shopping Data for Frictionless Shoppers

a shopping data and detail level technology, applied in the field of frictionless shoppers, can solve the problems of significant gaps in compliance and non-uniform compliance among retailers

Inactive Publication Date: 2022-04-21
TRAX TECH SOLUTIONS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0023]In an embodiment, a system may control a detail level of shopping data provided to frictionless shoppers. The system may include at least one processor configured to receive image data captured using one or more image sensors in a retail store and analyze the image data to detect a shopper in the retail store. The at least one processor may further determine a likelihood that the shopper will be involved in shoplifting. Thereafter, the at least one processor may control a detail level associated with frictionless shopping data provided to the shopper based on the determined likelihood that the shopper will be involved in shoplifting.
[0024]In an embodiment, a method may control a detail level of shopping data provided to frictionless shoppers. The method may include receiving image data captured using one or more image sensors in a retail store; analyzing the image data to detect a shopper in the retail store; determining a likelihood that the shopper will be involved in shoplifting; and controlling a detail level associated with frictionless shopping data provided to the shopper based on the determined likelihood that the shopper will be involved in shoplifting.

Problems solved by technology

Such a monitoring technique, however, may be inefficient and may result in nonuniform compliance among retailers relative to various product-related guidelines.
This technique may also result in significant gaps in compliance, as it does not allow for continuous monitoring of dynamically changing product displays.

Method used

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  • Varied Detail Levels of Shopping Data for Frictionless Shoppers
  • Varied Detail Levels of Shopping Data for Frictionless Shoppers
  • Varied Detail Levels of Shopping Data for Frictionless Shoppers

Examples

Experimental program
Comparison scheme
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first embodiment

[0148]With reference to FIG. 4B and consistent with the present disclosure, server 135 may receive image data captured by users 120. In a first embodiment, server 135 may receive image data acquired by store associates. In one implementation, a handheld device of a store associate (e.g., capturing device 125D) may display a real-time video stream captured by the image sensor of the handheld device. The real-time video stream may be augmented with markings identifying to the store associate an area-of-interest that needs manual capturing of images. One of the situations in which manual image capture may be desirable may occur where the area-of-interest is outside the fields of view of a plurality of cameras fixedly connected to store shelves in aisle 400. In other situations, manual capturing of images of an area-of-interest may be desirable when a current set of acquired images is out of date (e.g., obsolete in at least one respect) or of poor quality (e.g., lacking focus, obstacles...

second embodiment

[0149]In a second embodiment, server 135 may receive image data acquired by crowd sourcing. In one exemplary implementation, server 135 may provide a request to a detected mobile device for an updated image of the area-of-interest in aisle 400. The request may include an incentive (e.g., $2 discount) to user 120 for acquiring the image. In response to the request, user 120 may acquire and transmit an up-to-date image of the area-of-interest. After receiving the image from user 120, server 135 may transmit the accepted incentive or agreed upon reward to user 120. The incentive may comprise a text notification and a redeemable coupon. In some embodiments, the incentive may include a redeemable coupon for a product associated with the area-of-interest. Server 135 may generate image-related data based on aggregation of data from images received from crowd sourcing and from images received from a plurality of cameras fixedly connected to store shelves. Additional details of this embodime...

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Abstract

Methods, systems, and computer-readable media are provided for controlling a detail level of shopping data provided to frictionless shoppers. In one implementation, a method may comprise: receiving image data captured using one or more image sensors in a retail store; analyzing the image data to detect a shopper in the retail store; determining a likelihood that the shopper will be involved in shoplifting; controlling a detail level associated with frictionless shopping data provided to the shopper based on the determined likelihood that the shopper will be involved in shoplifting.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This application claims the benefit of priority of U.S. Provisional Application No. 63 / 091,009, filed on Oct. 13, 2020, and U.S. Provisional Application No. 63 / 113,490, filed on Nov. 13, 2020. The foregoing applications are incorporated herein by reference in their entirety.BACKGROUNDI. Technical Field[0002]The present disclosure relates generally to systems, methods, and devices for identifying products in retail stores, and more specifically to systems, methods, and devices for capturing, collecting, and automatically analyzing images of products displayed in retail stores for purposes of providing one or more functions associated with the identified products.II. Background Information[0003]Shopping in stores is a prevalent part of modern daily life. Store owners (also known as “retailers”) stock a wide variety of products on store shelves and add associated labels and promotions to the store shelves. Typically, retailers have a set of...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06Q30/06G06V40/16G06V20/52G06V10/764
CPCG06Q30/0609G06V10/764G06V20/52G06V40/172G06Q30/0617G06Q30/0613G06Q30/0623G06Q30/0281G06Q30/0635G06Q30/0633G06Q30/0639G01G19/4144G08B31/00G08B13/19613G07G1/0063G07G1/0072G06Q20/208G06Q20/203G06Q20/4016G06Q20/3821G06Q20/321G07G1/0081G07G1/14G06V20/44G06V40/103G06Q20/204G06V10/765G06Q20/40145G01G19/52G08B5/36G06Q20/145G06V40/20
Inventor BRONICKI, YOUVAL
Owner TRAX TECH SOLUTIONS