Visual Indicator of Frictionless Status of Retail Shelves
Abstract
A method for determining whether shoppers are eligible for frictionless checkout is disclosed. The method may include obtaining image data captured using a plurality of image sensors positioned in a retail store; analyzing the image data to identify at least one shopper at one or more locations of the retail store; detecting, based on the analysis of the image data, at least one product interaction event associated with an action of the at least one shopper at the one or more locations of the retail store; based on the detected at least one product interaction event, determining whether the at least one shopper is eligible for frictionless checkout; and in response to a determination that the at least one shopper is ineligible for frictionless checkout, causing delivery of an indicator that the at least one shopper is ineligible for frictionless checkout.
Claims
exact text as granted — not AI-modified1 - 21 . (canceled)
22 . 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.
23 . The non-transitory computer-readable medium of claim 22 , 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.
24 . The non-transitory computer-readable medium of claim 23 , wherein the one or more retail store sensors include at least one of a weight-sensitive sensor and a pressure-sensitive sensor.
25 . The non-transitory computer-readable medium of claim 22 , 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.
26 . The non-transitory computer-readable medium of claim 25 , 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.
27 . The non-transitory computer-readable medium of claim 22 , 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.
28 . The non-transitory computer-readable medium of claim 22 , wherein the visual indicator is displayed via a light source associated with the at least a portion of the retail shelf.
29 . The non-transitory computer-readable medium of claim 22 , wherein the visual indicator is displayed via a display unit associated with the at least a portion of the retail shelf.
30 . The non-transitory computer-readable medium of claim 22 , wherein the visual indicator is displayed via an augmented reality (AR) system associated with a shopper in the retail store.
31 . The non-transitory computer-readable medium of claim 22 , wherein the visual indicator is displayed via one or more mobile devices associated with a shopper in the retail store.
32 . The non-transitory computer-readable medium of claim 22 , wherein the visual indicator is displayed via a wearable device or mobile device associated with a store associate of the retail store.
33 . The non-transitory computer-readable medium of claim 22 , 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.
34 . The non-transitory computer-readable medium of claim 22 , further comprising:
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.
35 . The non-transitory computer-readable medium of claim 34 , 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.
36 . The non-transitory computer-readable medium of claim 34 , 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.
37 . The non-transitory computer-readable medium of claim 34 , wherein the status change event includes a determination of an orientation of a shopper opposing the at least a portion of the retail shelf.
38 . The non-transitory computer-readable medium of claim 34 , 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.
39 . The non-transitory computer-readable medium of claim 22 , 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.
40 . (canceled)
41 . 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.
42 . 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.
43 - 224 . (canceled)Join the waitlist — get patent alerts
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