IP Library Granted Patent US 11,423,467
Granted Patent B2
US 11,423,467 · App. 17/564,332 · Granted Aug 23, 2022

Visual indicator of frictionless status of retail shelves

Inventor: Youval Bronicki (Los Altos, CA)
Assignee: Trax Technology Solutions Pte Ltd.
G06Q30/0635G06V20/52G01G19/4144G01G19/52G08B5/36
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,423,467
App. No.
17/564,332
Granted
Aug 23, 2022
Kind
B2
Abstract

Methods, systems, and computer-readable media are provided for providing a visual indicator indicative of a frictionless checkout status of at least a portion of a retail shelf. In one implementation, a method may comprise: receiving an output from one or more retail store sensors; based on the output from the one or more retail store sensors, determining a frictionless checkout eligibility status associated with the at least a portion of the retail shelf, wherein the frictionless checkout eligibility status is indicative of whether the at least a portion of the retail shelf includes one or more items eligible for frictionless checkout; and causing a display of an automatically generated visual indicator indicating the frictionless checkout eligibility status associated with the at least a portion of the retail shelf.

Claims (43)

1. A non-transitory computer-readable medium including instructions that when executed by a processor cause the processor to perform a method for providing a visual indicator indicative of a frictionless checkout status of at least a portion of a retail shelf, the method comprising:

receiving an output from one or more retail store sensors;

based on the output from the one or more retail store sensors, determining a frictionless checkout eligibility status associated with the at least a portion of the retail shelf, wherein the frictionless checkout eligibility status is indicative of whether the at least a portion of the retail shelf includes one or more items eligible for frictionless checkout; and

causing a display of an automatically generated visual indicator indicating the frictionless checkout eligibility status associated with the at least a portion of the retail shelf;

determining a change in the frictionless checkout eligibility status associated with the at least a portion of the retail shelf based on a detected status change event indicated by the output from the one or more retail store sensors; and

updating the visual indicator to reflect the change in the frictionless checkout eligibility status.

2. The non-transitory computer-readable medium of claim 1 , wherein the one or more retail store sensors are disposed on a surface of the at least a portion of the retail shelf configured to hold one or more products placed on the at least a portion of the retail shelf.

3. The non-transitory computer-readable medium of claim 2 , wherein the one or more retail store sensors include at least one of a weight-sensitive sensor or a pressure-sensitive sensor.

4. The non-transitory computer-readable medium of claim 1 , wherein in the one or more retail store sensors include at least one image sensor configured to capture one or more images of the at least a portion of the retail shelf, and the output includes image data captured using the at least one image sensor.

5. The non-transitory computer-readable medium of claim 4 , wherein the method further comprises:

calculating a convolution of at least part of the image data;

in response to a first value of the calculated convolution, determining a first frictionless checkout eligibility status associated with the at least a portion of the retail shelf; and

in response to a second value of the calculated convolution, determining a second frictionless checkout eligibility status associated with the at least a portion of the retail shelf, the second frictionless checkout eligibility status differs from the first frictionless checkout eligibility status.

6. The non-transitory computer-readable medium of claim 1 , wherein determining the frictionless checkout eligibility status associated with the at least a portion of the retail shelf is based on an arrangement of products placed on the at least a portion of the retail shelf detected based on the output received from the one or more sensors.

7. The non-transitory computer-readable medium of claim 1 , wherein the visual indicator is displayed via a light source associated with the at least a portion of the retail shelf.

8. The non-transitory computer-readable medium of claim 1 , wherein the visual indicator is displayed via a display unit associated with the at least a portion of the retail shelf.

9. The non-transitory computer-readable medium of claim 1 , wherein the visual indicator is displayed via an augmented reality (AR) system associated with a shopper in a retail store.

10. The non-transitory computer-readable medium of claim 1 , wherein the visual indicator is displayed via one or more mobile devices associated with a shopper in a retail store.

11. The non-transitory computer-readable medium of claim 1 , wherein the visual indicator is displayed via a wearable device or mobile device associated with a store associate of a retail store.

12. The non-transitory computer-readable medium of claim 1 , wherein the display of the automatically generated visual indicator indicates that the at least a portion of the retail shelf is not eligible for frictionless checkout, and an absence of the automatically generated visual indicator indicates that the at least a portion of the retail shelf is eligible for frictionless checkout.

13. The non-transitory computer-readable medium of claim 1 , wherein the status change event includes an identification of at least two shoppers standing in a vicinity of the at least a portion of the retail shelf.

14. The non-transitory computer-readable medium of claim 1 , wherein the status change event includes an identification of a shopper that placed a product on the at least a portion of the retail shelf.

15. The non-transitory computer-readable medium of claim 1 , wherein the status change event includes a determination of an orientation of a shopper opposing the at least a portion of the retail shelf.

16. The non-transitory computer-readable medium of claim 1 , wherein the status change event includes a determination that the output from the one or more retail store sensors is not sufficient for determining that the at least a portion of the retail shelf is eligible for frictionless shopping.

17. The non-transitory computer-readable medium of claim 1 , further comprising:

obtaining input related to a type of products placed on the at least a portion of the retail shelf; and

determining the frictionless checkout eligibility status of the at least a portion of the retail shelf based on the obtained input.

18. The non-transitory computer-readable medium of claim 1 , further comprising:

obtaining a status override signal; and

determining the frictionless checkout eligibility status of the at least a portion of the retail shelf based on the status override signal.

19. A method for providing a visual indicator indicative of a frictionless checkout status of at least a portion of a retail shelf, the method comprising:

receiving an output from one or more retail store sensors;

based on the output from the one or more retail store sensors, determining a frictionless checkout eligibility status associated with the at least a portion of the retail shelf, wherein the frictionless checkout eligibility status is indicative of whether the at least a portion of the retail shelf includes one or more items eligible for frictionless checkout; and

causing a display of an automatically generated visual indicator indicating the frictionless checkout eligibility status associated with the at least a portion of the retail shelf;

determining a change in the frictionless checkout eligibility status associated with the at least a portion of the retail shelf based on a detected status change event indicated by the output from the one or more retail store sensors; and

updating the visual indicator to reflect the change in the frictionless checkout eligibility status.

20. A system for providing a visual indicator indicative of a frictionless checkout status of at least a portion of a retail shelf, the system comprising:

at least one processor configured to:

receive an output from one or more retail store sensors;

based on the output from the one or more retail store sensors, determine a frictionless checkout eligibility status associated with the at least a portion of the retail shelf, wherein the frictionless checkout eligibility status is indicative of whether the at least a portion of the retail shelf includes one or more items eligible for frictionless checkout; and

cause a display of an automatically generated visual indicator indicating the frictionless checkout eligibility status associated with the at least a portion of the retail shelf;

determine a change in the frictionless checkout eligibility status associated with the at least a portion of the retail shelf based on a detected status change event indicated by the output from the one or more retail store sensors; and

update the visual indicator to reflect the change in the frictionless checkout eligibility status.

Assignments (3)
RELEASE OF SECURITY INTEREST Recorded Feb 10, 2026
From: COMPUTERSHARE TRUST COMPANY, N.A., AS ADMINISTRATIVE AGENT
To: TRAX TECHNOLOGY SOLUTIONS PTE. LTD.; SHOPKICK, INC.
Reel/Frame 074717/0014 →
SECURITY INTEREST Recorded Sep 22, 2023
From: TRAX TECHNOLOGY SOLUTIONS PTE. LTD.; SHOPKICK, INC.
To: COMPUTERSHARE TRUST COMPANY, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 065016/0744 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 29, 2021
From: BRONICKI, YOUVAL
To: TRAX TECHNOLOGY SOLUTIONS PTE LTD.
Reel/Frame 058598/0413 →
Continuity (4)
Continuation PCTUS2021054489 · Oct 12, 2021
Provisional Application 63091009 · Oct 13, 2020
Provisional Application 63113490 · Nov 13, 2020
Related Publication 20220122154A1 · Apr 21, 2022
Cited By (3)
US 12,488,091 US 12,536,519 US 12,711,482