Unlock instant, AI-driven research and patent intelligence for your innovation.

Estimating shelf capacity from image data to improve store execution

Pending Publication Date: 2021-12-23
TRAX TECH SOLUTIONS
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patent describes a system and method for analyzing images of a retail store to determine the types of products displayed and the shelves they are stored on. The system uses this information to suggest improvements to the store's execution, based on the capacity of the shelves and the data of other products that are not shown in the images. The technical effects of this invention include improved customer experience and efficient use of store space.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Estimating shelf capacity from image data to improve store execution
  • Estimating shelf capacity from image data to improve store execution
  • Estimating shelf capacity from image data to improve store execution

Examples

Experimental program
Comparison scheme
Effect test

first embodiment

[0145]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 employees. In one implementation, a handheld device of a store employee (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 employee 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, l...

second embodiment

[0146]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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

Systems and methods for automatically determining options for store execution based on shelf capacity are provided. In one implementation, at least one processor is configured to receive a set of images depicting a first plurality of products from a particular product type displayed on a shelving unit in a retail store; analyze the set of images to identify a portion of the shelving unit associated with the particular product type; determine a product capacity for the portion of the shelving unit; access stored data about a second plurality of products from the particular product type, wherein each of the second plurality of products is located separately from the shelving unit; use the product capacity for the portion of the shelving unit and the accessed data to generate a suggestion for improving store execution; and provide the at least one suggestion for improving store execution.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This application claims the benefit of priority of U.S. Provisional Application No. 62 / 814,339, filed Mar. 6, 2019; U.S. Provisional Application No. 62 / 829,160, filed Apr. 4, 2019; U.S, Provisional Application No. 62 / 872,751, filed Jul. 11, 2019; and U.S. Provisional Application No. 62 / 879,565, filed Jul. 29, 2019. 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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q20/20G06Q10/08G06Q10/06G06K9/00
CPCG06Q20/203G06Q10/087G06K9/0063G06Q10/06312G06Q10/06375G06Q30/00G06Q10/06313G06Q10/06315G06T7/70G06Q30/0201G06T2207/30232H04N7/181H02J7/0048H02J7/00036H02J7/0013H02J7/0068H02J9/06H04N7/18G06V20/13G06V20/00G06Q30/0223G06V20/20G06V20/52G06Q30/0639G06Q30/0641G06T7/001G06Q30/0207G06Q30/0242G06Q30/0261G06V30/10G06Q20/208G06Q30/0643G06F18/21H04N23/51H04N23/54H04N23/65
Inventor ADATO, YAIRCOOK, MARK
Owner TRAX TECH SOLUTIONS
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com