Visual indicator of frictionless status of shoppers

1. A non-transitory computer-readable medium including instructions that when executed by a processor cause the processor to perform a method for determining whether shoppers are eligible for frictionless checkout, the method comprising:

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;

determining whether the at least one shopper is eligible for frictionless checkout based on a determination that a number of ambiguous events among the detected at least one product interaction event exceeds a predetermined threshold number of ambiguous events; 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.

2. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:

obtaining sensor data from one or more sensors disposed on a retail shelf between the retail shelf and one or more products placed on the retail shelf; and

wherein the at least one product interaction event is detected based on analysis of the image data and the sensor data.

3. The non-transitory computer-readable medium of claim 1 , wherein the at least one shopper includes a plurality of shoppers, and wherein identifying the at least one shopper at the one or more locations of the retail store includes determining an individual path for each of the plurality of shoppers in the retail store.

4. The non-transitory computer-readable medium of claim 1 , wherein the at least one product interaction event is detected based on a plurality of products that the at least one shopper is expected to buy.

5. The non-transitory computer-readable medium of claim 1 , wherein the action of the at least one shopper includes removing a product from a shelf associated with the retail store.

6. The non-transitory computer-readable medium of claim 1 , wherein the action of the at least one shopper includes returning a product to a shelf associated with the retail store.

7. The non-transitory computer-readable medium of claim 1 , wherein determining whether the at least one shopper is eligible for frictionless checkout is based on at least one indicator of a degree of ambiguity associated with the detected at least one product interaction event.

8. The non-transitory computer-readable medium of claim 1 , wherein determining whether the at least one shopper is eligible for frictionless checkout is based on whether the at least one shopper is detected removing or selecting a product from a shelf that is designated as ineligible for frictionless checkout.

9. The non-transitory computer-readable medium of claim 1 , wherein determining whether the at least one shopper is eligible for frictionless checkout includes determining an indicator of a confidence level associated with each detected product interaction event.

10. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:

obtaining cart data indicative of an actual plurality of products within a cart of a particular shopper;

determining, based on analysis of the detected at least one product interaction event, an expected plurality of products within the cart of the particular shopper;

determining whether a discrepancy exists between the actual plurality of products and the expected plurality of products; and

determining that the particular shopper is ineligible for frictionless checkout based on the determined discrepancy.

11. The non-transitory computer-readable medium of claim 1 , wherein the determination that the at least one shopper is ineligible for frictionless checkout is based on a determination of a product value associated with one or more ambiguous events among the detected at least one product interaction event.

12. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:

accessing a customer profile associated a particular shopper; and

foregoing the delivery of the indicator that the particular shopper is ineligible for frictionless checkout based on information associated with the customer profile.

13. The non-transitory computer-readable medium of claim 1 , wherein causing the delivery of the indicator that the at least one shopper is ineligible for frictionless checkout includes sending a notification to a wearable device associated with the at least one shopper.

14. The non-transitory computer-readable medium of claim 1 , wherein causing the delivery of the indicator that the at least one shopper is ineligible for frictionless checkout includes sending a notification to a mobile device associated with the at least one shopper.

15. The non-transitory computer-readable medium of claim 1 , wherein causing the delivery of the indicator that the at least one shopper is ineligible for frictionless checkout includes causing a notification to be generated by a shopping cart associated with the at least one shopper.

16. The non-transitory computer-readable medium of claim 1 , wherein causing a delivery of the indicator that the at least one shopper is ineligible for frictionless checkout includes sending a notification to a computing device associated with a store associate of the retail store.

17. The non-transitory computer-readable medium of claim 1 , wherein the delivery of the indicator that the at least one shopper is ineligible for frictionless checkout occurs after the at least one shopper enters a checkout area of the retail store.

18. The non-transitory computer-readable medium of claim 1 , wherein the method further comprises:

causing an ambiguity resolution action in response to a detection of at least one ambiguous event among the detected at least one product interaction event; and

causing an eligibility status for frictionless checkout for the at least one shopper to be restored based on data associated with a completion of the ambiguity resolution action.

19. The non-transitory computer-readable medium of claim 1 , wherein the predetermined threshold number of ambiguous events is based on a total number of product interaction events included in the at least one product interaction event.

20. A method for determining whether shoppers are eligible for frictionless checkout, the method comprising:

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;

determining whether the at least one shopper is eligible for frictionless checkout based on a determination that a number of ambiguous events among the detected at least one product interaction event exceeds a predetermined threshold number of ambiguous events; 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.

21. A system for determining whether shoppers are eligible for frictionless checkout, the system comprising:

at least one processor programmed to:

obtain image data captured using a plurality of image sensors positioned in a retail store;

analyze the image data to identify at least one shopper at one or more locations of the retail store;

detect, 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;

determine whether the at least one shopper is eligible for frictionless checkout based on a determination that a number of ambiguous events among the detected at least one product interaction event exceeds a predetermined threshold number of ambiguous events; and

in response to a determination that the at least one shopper is ineligible for frictionless checkout, cause delivery of an indicator that the at least one shopper is ineligible for frictionless checkout.