IDENTIFYING PRODUCTS FROM ON-SHELF SENSOR DATA AND VISUAL DATA

    公开(公告)号:US20210374463A1

    公开(公告)日:2021-12-02

    申请号:US17365495

    申请日:2021-07-01

    Abstract: A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for identifying products from on-shelf sensors and image data. The method may include receiving data captured using a plurality of sensors positioned between at least part of a retail shelf and one or more products placed on the at least part of the retail shelf. The method may also include receiving an image of the at least part of the retail shelf and at least one of the one or more products. The method may also include analyzing the captured data and the image to determine a product type of the one or more products.

    USING IMAGE BASED INVENTORY DATA AND PRICING DATA TO DISTRIBUTE SHOPPING

    公开(公告)号:US20220383392A1

    公开(公告)日:2022-12-01

    申请号:US17816756

    申请日:2022-08-02

    Inventor: Youval BRONICKI

    Abstract: Systems and methods are provided for retail environments. In one implementation, a non-transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include obtaining an electronic shopping list associated with a customer, the electronic shopping list identifying a target product; automatically determining that the target product is unavailable at a particular retail store; automatically identify an alternative product, available at the particular retail store, as a potential alternative to the target product; receiving at least one image representative of at least a portion of the particular retail store wherein the at least one image includes a representation of the alternative product; and analyzing the at least one image to cause an extended reality appliance to present to a shopper a visual indicator associated with the alternative product in the particular retail store.

    TRIGGERING IMAGE ANALYSIS IN RETAIL STORES IN RESPONSE TO POINT OF SALE DATA

    公开(公告)号:US20220383384A1

    公开(公告)日:2022-12-01

    申请号:US17817426

    申请日:2022-08-04

    Inventor: Youval BRONICKI

    Abstract: Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include obtaining point of sale data from a retail store; analyzing the point of sale data to identify at least one anomalous transaction; in response to the identified at least one anomalous transaction, providing information configured to cause capturing of image data from the retail store; analyzing the image data relating to the at least one anomalous transaction to determine at least one condition associated with the at least one anomalous transaction in the retail store; and based on the analyzed image data relating to the at least one anomalous transaction, generating an indicator associated with the at least one condition.

    Visual Indicator of Frictionless Status of Retail Shelves

    公开(公告)号:US20220358817A1

    公开(公告)日:2022-11-10

    申请号:US17814554

    申请日:2022-07-25

    Inventor: Youval BRONICKI

    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.

    ENABLING FRICTIONLESS SHOPPING OF PRODUCTS FROM BULK PACKAGING

    公开(公告)号:US20220122133A1

    公开(公告)日:2022-04-21

    申请号:US17564950

    申请日:2021-12-29

    Abstract: A method for identifying products removed from bulk packaging includes receiving one or more images acquired by a camera arranged to capture interactions between a shopper and one or more bulk packages each configured to contain a plurality of products, analyzing the one or more images to identify the shopper and a particular bulk package among the one or more bulk packages with which the identified shopper interacted, receiving an output from at least one sensor configured to monitor changes associated with the particular bulk package, analyzing the output to determine a quantity of products removed from the particular bulk package by the identified shopper, and updating a virtual shopping cart associated with the identified shopper to include the determined quantity of products and an indication of a product type associated with the particular bulk package.

    Selective Treatment of Shopping Receptacles in Checkout

    公开(公告)号:US20220122132A1

    公开(公告)日:2022-04-21

    申请号:US17564505

    申请日:2021-12-29

    Abstract: Methods, systems, and computer-readable media are provided for tracking frictionless shopping eligibility relative to individual shopping receptacles. In one implementation a method comprises: obtaining image data captured using a plurality of image sensors; analyzing the image data to identify a shopper at one or more locations; detecting, based on the analysis of the image data, a first product interaction event involving a first shopping receptacle associated with the shopper and a second product interaction event involving a second shopping receptacle associated with the shopper; based on the detected first product interaction event, determining whether the first shopping receptacle is eligible for frictionless checkout; based on the detected second product interaction event, determining whether the second shopping receptacle is eligible for frictionless checkout; and causing delivery of an indicator identifying which of the first shopping receptacle or the second shopping receptacle is ineligible for frictionless checkout.

    REGAINING FRICTIONLESS STATUS OF SHOPPERS

    公开(公告)号:US20220114569A1

    公开(公告)日:2022-04-14

    申请号:US17555877

    申请日:2021-12-20

    Inventor: Youval BRONICKI

    Abstract: A method for addressing a shopper's eligibility for frictionless checkout may include identifying at least one shopper in a retail store designated as not eligible for frictionless checkout; in response to the identification of the at least one shopper designated as not eligible for frictionless checkout, automatically identifying an ineligibility condition associated with the at least one shopper's designation as not eligible for frictionless checkout; determining one or more actions for resolving the ineligibility condition; causing implementation of the one or more actions for resolving the ineligibility condition; receiving an indication of successful completion of the one or more actions; and in response to receipt of the indication of successful completion of the one more actions, generating a status indicator indicating that the at least one shopper is eligible for frictionless checkout and storing the generated status indicator in a memory.

    USING LOW-RESOLUTION IMAGES TO DETECT PRODUCTS AND HIGH-RESOLUTION IMAGES TO DETECT PRODUCT ID

    公开(公告)号:US20210398202A1

    公开(公告)日:2021-12-23

    申请号:US17465276

    申请日:2021-09-02

    Abstract: A system for processing images captured in a retail store and automatically identifying products displayed on shelving units, includes at least one processor configured to: receive a first image depicting a shelving unit with a plurality of products of differing product types displayed thereon and a first plurality of labels coupled to the shelving unit; receive a set of second images depicting a second plurality of labels; correlate a first label depiction of a specific label included in the first image to a second label depiction of the same specific label included in a second image; use information derived from the second label depiction to determine a type of products displayed in the first image in proximity to the specific label; and initiate an action based on the determined type of products displayed in proximity to the specific label.

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