Abstract: A method operates a sales device for goods. The method includes: detecting, using a shelf with automatic removal monitoring, a removed item and determining item data of the removed item; receiving the item data of the removed item; adding the item data of the removed item to a list of items intended for payment; receiving an item number from a product scanner; adding the item associated with the item number to a list associated with the product scanner; identifying the product scanner at the sales device; collecting, with at least one sensor, data about items in a shopping cart or a shopping basket which is located on a support plate of the sales device; and validating the list of items associated with the product scanner on the basis of the data from the at least one sensor and the list of items intended for payment.

Abstract: Systems and methods involving a hub platform, communication network, and memory configured for processing data involving time-stamped/time-sensitive aspects and other features are disclosed.

Abstract: An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

Abstract: A device receives, from a user device, a request to generate a verification code for a transaction associated with a user of the user device, and receives user profile information associated with a transaction card to be used for the transaction. The device generates a random verification code for the transaction based on the request and the user profile information, and authenticates the random verification code, based on the user profile information, to generate an authenticated random verification code. The device provides the authenticated random verification code to the user device, and receives transaction information, including the authenticated random verification code, from a merchant device associated with the transaction. The device validates the transaction based on the transaction information, and provides, to the merchant device associated with the transaction, information indicating that the transaction is validated.

Abstract: There are provided systems and methods relating to checking and confirming merchandise purchased at shopping facilities. In one form, the system includes: a shopping cart containing merchandise items to be purchased; a sales transaction database; a point-of-sales system that creates transaction records identified by transaction identifiers; and a mobile device used by an employee that includes a sensor to scan a paper or digital receipt to obtain the transaction identifier and a camera to capture images of the items in the shopping cart. The system also includes a control circuit that receives the transaction identifier, accesses the database using the identifier to determine the purchased items; analyzes the images of the merchandise items in the shopping cart and creates a computer vision receipt listing detected items; compares the purchased items with the detected items; and takes an action if there is a discrepancy.

Abstract: A cabinet that securely stores items in cabinet drawers using preconfigured nests. The drawers can be reconfigured using one or more dividers to divide the drawers into two or more compartments. The cabinet has cameras mounted to it and uses images to determine if a compartment contains an item and other information. In some embodiments, features are implemented to closely monitor the self-serve access and removal of items from the cabinet. Features can include the incorporation of serialization of items and automated tracking of items in a bulk item stocked in the cabinet. Features can also include multimode access such as allowing users to quickly access contents of the cabinet while for example providing graphical illustrations based on information about the stock in a supporting database.

Abstract: A self-service checkout terminal for vision-based checkout includes a computing device having a processor and a memory. A camera coupled to the computing device has a predefined field of view focused on a scan zone and provides a video output signal of the scan zone to the computing device. A checkout tray has a tactile surface formed from a predefined number of rows and a predefined number of columns of raised dot. The checkout tray is positioned within the scan zone. The processor processes the video output signal from the camera to attempt to identify an item placed on the checkout tray by a user during a transaction, provides a description of the item to the user via the user interface when the item is identified, and provides the user of an indication of a location of the item via a user interface when the item is not identified.

Abstract: An asset tag adapted to be mounted to an asset. The asset tag comprises a first component encoded with a first ID unique to the asset tag, the first component having a first wireless interface and transmitting first broadcast signals via said first wireless interface over a first range, the first broadcast signals including the first ID. The asset tag further comprises a user-actuatable button. The asset tag further comprises processing circuitry, coupled to the button and to at least the first wireless interface. The processing circuitry is configured for (i) determining whether a predetermined gesture has been performed by a user using the button and (ii) if the predetermined gesture has been performed, transmitting via the first wireless interface to a wireless access point a restock message, the restock message including the first ID and indicating that restocking is required of assets corresponding to the first ID.

Abstract: The present disclosure provides new and innovative systems, methods, and apparatuses for detecting non-decode events in indicia scanning settings.

Abstract: A self-checkout device of an embodiment includes a bagging stand, a pair of pillars, a beam, a user interface terminal, and one or more brackets. The bagging stand includes a table and a scale that weighs a load placed on the table. The pair of pillars is installed on the bagging stand with a longitudinal direction thereof oriented vertically, and at least one outer surface of the pair of pillars is configured with a split exterior member that is splittable into a plurality of pieces in the longitudinal direction. The beam connects upper ends of the pillars. The user interface terminal is mounted on the beam. The one or more brackets receive attachment of an external device, and the bracket is positionally interchangeable with a part of the split exterior member.

Abstract: Systems and methods for providing targeted content are disclosed. A media device is located in a physical location and configured to display content associated with one or more items. An assistant device has an asset ID and is used to assist a user's interactions. A plurality of first sensors generate first velocity data of an item ID coupled to a first item and second velocity data of the asset ID. At least one processor is configured to: determine that the first item is associated with the assistant device based on the first velocity data and the second velocity data, calculate an estimated time indicating when the assistant device will enter the first predetermined range based on the second velocity data, determine content associated with a second item based on the first item, and instruct the media device to present the content starting from the estimated time.

Abstract: Sensors are mounted to surfaces of an intermediate module and a lower module of a media handling device. The sensors report to firmware and the firmware determines whether the lower module is in proper alignment with the intermediate module based on the reported sensor data. A spring plunger is configured with sufficient tension to push the lower module into alignment and a motorized latch controlled by the firmware is configured to pull the lower module into alignment and/or assist the spring plunger in pushing the lower module into alignment. In an embodiment, a lid and a lid alignment rail apparatus is provided to ensure a lid of the lower module is properly latched, aligned, and unlatched.

Abstract: Implementations of this application provide a checkout device, including a housing, a display screen, and a near-field communication (NFC) module. The housing includes a support portion for support of the housing on a countertop. The display screen is fastened to the housing, and when the checkout device is used, the display screen faces a consumer. The NFC module is located in space enclosed by the housing, and located to permit an electronic device to make an electronic payment.

Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.

Abstract: A combination automated-service and self-service store for implementation at brick-and-mortar retail locations is provided. The store and corresponding method of implementation is an automated-service model in which robots, deployed at the brick-and-mortar location, fill orders for fungible goods placed by customers either online or in-store. The store also includes a shopping section where customers can select/order items and/or personally select non-fungible goods. The store includes a shopping section for non-fungible goods that customers prefer to pick out by hand and a back end automated order fulfillment section for other goods (e.g., fungible goods, dry goods, etc.). The two sets of goods are merged to a delivery bundle and delivered together for pickup by the customer.

Abstract: The present disclosure provides a communication method of an electronic shelf label system, a system, a computer device and a storage medium. The method includes: configuring, by a server, an offset of each of base stations in a corresponding synchronization sub-network based on neighboring relationships between all the base stations in each of the synchronization sub-networks, so that each of the base stations calculates synchronization frame transmission time in a predetermined signal transmission cycle based on the offset; calculating, by each of the base stations, idle time in a synchronization channel based on the synchronization frame transmission time, so that each of the base stations receives a target synchronization frame sent by a superior base station in the idle time of the synchronization channel. According to the present disclosure, the synchronization frames sent by all the base stations has central and adjacent feature in time.

Abstract: An electronic device may include wireless communications circuitry that receives location information from tags that are coupled to different items. The electronic device may keep track of the different items using the tags. The electronic device may include control circuitry that analyzes historical tracking data from the tags to identify patterns and relationships between the tags. Based on the historical tracking data, the control circuitry may classify some tagged items as bags for other tagged items and may automatically alert the user when a tagged item is missing from its bag. The control circuitry may generate rules based on the historical tracking data, such as rules regarding acceptable ranges between tagged items and acceptable ranges between tagged items and the electronic device. The control circuitry may determine when to provide real-time location information and other notifications for a tagged item based on the historical tracking data.

Abstract: This invention relates to systems and methods for authenticating transactions using a mobile device based primarily on the introduction of a layer of middleware and wherein the Payment Networks, Merchants, Issuing Banks, Credit Reporting Bureaus, Insurance Companies, Healthcare Providers may customize the implementation of the services based on individual strategy and consumer preferences.

Abstract: The present disclosure is related to a printing driver unit, which discloses method and printer driver unit for performing a transaction by automatically transmitting data to an Electronic Data Capture (EDC) terminal. Method includes receiving, by printer driver unit associated with host computing device, first print request including first data related to purchase, from host computing device. Further, the printer driver unit extracts final transaction amount from first data and determines status of EDC terminal upon extracting final transaction amount. When EDC terminal is determined to be in first state, the printer driver unit generates a second print request including extracted final transaction amount and transmits the generated second print request to EDC terminal to facilitate automatic insertion of final transaction amount in EDC terminal to initiate payment transaction.

Abstract: An image acquisition unit (11) acquires a recognition processing image. A recognition unit (12) recognizes a product in the recognition processing image based on an estimation model. A registration unit (13) registers a result of the recognition in recognized product information. An output unit (14) outputs a result of the recognition. A correction reception unit (16) receives an input for correcting a result of the recognition. A correction unit (17) changes a result of the recognition to a result of the recognition after a correction, and also stores correction information in which a result of the recognition after a correction and the recognition processing image are associated with each other. A learning unit (18) performs relearning by using the recognition processing image stored as the correction information and updates the estimation model, when a number of the recognition processing image stored exceeds a predetermined value.

Abstract: Improvements to existing technologies associated with point-of-sale transactions and merchant ecosystems to, among other things, reduce in-person contact and, in some examples, improve the efficiency at which point-of-sale transactions are completed (i.e., reduce friction) are described. In some examples, such reduced in-person contact and/or improved efficiencies can limit transmission of infectious diseases. As such, techniques described are directed to modifying aspects of point-of-sale transactions such that they occur on different computing devices (e.g., customer computing devices instead of merchant computing devices), are automated, and/or occur at different times than with conventional point-of-sale transactions.

Abstract: Provided is a computer-implemented method for real-time automatic authorization of a payment transaction that is independent of an authorization input from a consumer. The method may include receiving first data associated with a consumer, generating a payment transaction classification model based on the first data associated with the consumer, receiving second data associated with the consumer, determining whether to process a payment transaction in real-time between the consumer and a merchant independent of an authorization input received from the consumer using the payment transaction classification model and the second data associated with the consumer, and processing a payment transaction between the consumer and the merchant based on determining to process the payment transaction in real-time between the consumer and the merchant.

Abstract: Disclosed embodiments provide transaction validation systems and methods for use in self-checkout at a retail establishment. An exemplary system may include a scale sized to support and weigh a shopping basket thereon. At least one image sensor is arranged to capture at least one image of the weighed shopping basket. A processor receives a weight measurement of the shopping basket from the scale and determines, based on information received from a wireless communications device of a customer, a record of products in the shopping basket and an expected cumulative weight associated with the products in the shopping basket. The processor determines a discrepancy between the weight measurement of the products in the shopping basket and the expected cumulative weight and reconciles the determined discrepancy using the at least one captured image of the shopping basket by the at least one image sensor.

Abstract: A data analytics system has been developed for conveyor systems that helps to monitor items along conveyors as well as assist in monitoring the status or health of equipment of the conveyor. Tracking items in conveying systems within a facility can be difficult. Conveyed items can become jammed, lost, or even fall off the conveyor. Based on input from motors and sensors along the conveyor, the data analytics system is able to detect lost or jammed items. With input from the sensors, the data analytics system is also configured to detect equipment wear and damage. The data analytic system further aggregates data from the various conveyor systems to generate statistics as well as other information that can be used for modeling and simulating the conveyor system. The aggregate data can be used to generate measures such as travel efficiency analytics for reporting purposes.

Abstract: Disclosed herein are components, systems, and methods of a scanning system that operates in a retail environment to deter and prevent theft of items. The systems and methods include a plurality of imagers to capture a plurality of images of the item, and identifying key feature locations of the item based on the captured images. The systems and methods include a scanner to read a machine-readable symbol attached to the item, and accessing a database that includes stored key feature data associated with the specific machine-readable symbol attached to the item. The systems and methods further include one or more processors that generate key feature data for the item based on the key feature locations, compares the stored key feature data with the generated key feature data, and determines whether the stored key feature data matches the generated key feature data to a degree sufficient to surpass a predetermined threshold.

Abstract: This disclosure is directed to, in part, mobile carts and/or associated computing devices that are configured to determine their respective location, determine an item in a facility that is associated with an item location that is nearest the location of the cart, determine one or more items that have been designated as similar to the nearest item, and output recommendation data corresponding to the similar items. In some instances, items may be ranked according to similarity based on a comparison of text data associated with the items, based on a comparison of location data associated with the items in other facilities, or the like.

Abstract: A system and method for verifying a non-scan item at a self-checkout point-of-sale terminals provided. A merchandise item that isn't scanned at the self-checkout terminal is identified by a detection system. Further, a user helper device is provided to verify the incident by prompting the shopper for an input. The user helper device is operably connected to the self-checkout point-of-sale terminal and the detection system to determine and verify a fraudulent incident occurring during a transaction activity by the shoppers. Further, a store attendant device is provided for human intervention when necessary.

Abstract: A system and method is presented for product substantiation and promotion redemption. A purchased product list is transmitted from a retail store system to a promotion analysis server along with a user identifier. The promotion analysis server identifies promotions available to the user, and then considers whether the benefits under the promotions are still available to the user. Discounts for available promotions related to the purchased product list are calculated and transmitted to the retail store system for deduction from the transactions. A promotion product filter can be provided that filters the purchased product list before transmittal. The promotion product filter can include promotions from a plurality of programs. SNAP and Enhanced SNAP benefits can be provided along with the discount benefits.

Abstract: An information processing device identifies a first feature amount related to the number of the product registered on the specific machine based on an acquired product information, generating, from an image capturing a user in front of the specific machine, a first area information, a second area information and an interaction between the first class and the second class, specifies an action of the user of registering the product to the specific machine based on the first area information, the second area information, and the interaction, identifies a second feature amount related to the number of time of carrying out the action; and generates an alert based on the first feature amount and the second feature amount.

Abstract: Systems, methods, and machine readable media are provided for relabeling items. A computing device is communicatively coupled to a scanning device, a printing device, and an inventory system. The computing device identifies at least one of the items as missing an expected label type, the expected label indicating a location where the item should be stocked. The system scans the item via the scanning device, queries the inventory system to determine a location for the item. The system prints, via the printing device, a label indicating a location where the item should be stocked in the retail facility, applies the label to the item and sorts the item, via the sorting apparatus, to transport the item to one of the outlets based on the location indicated on the label.

Abstract: A system and method for replaying a security video at the time of a fraudulent incident at a point-of-sale checkout terminal is presented. The video playback takes place in real-time, when the event occurs, allowing personnel to take appropriate measures, corrective or otherwise, to deal with the event. Examples of such events may include when a weight-based security alert is triggered at a self-checkout, when a cashier or customer has missed scanning an item at the checkout, or other possible events where rapid replay of relevant video is required.

Abstract: Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations. A computing device may use data indicating activity performed by a user for a plurality of time periods to validate an identity of the user.

Abstract: A method for creating a digital twin of a beverage dispenser including first and second tapping valves is based on the use of a telematic communication network with a cloud server provided with storage in which one or more geographical areas are stored and for each geographical area one or more respective sites in which at least one beverage dispenser is positioned, as well as a plurality of beverages. The digital twin is created based on data stored in the storage: a datum concerning a selected geographical area and/or a datum concerning a selected site, a datum concerning a first unique identification code associated with the first tapping valve, a datum concerning a second unique identification code associated with the second tapping valve, a datum concerning a first beverage associated with the first tapping valve, and a datum concerning a second beverage associated with the second tapping valve.

Abstract: An electronic computing device receives a request from a third party for status information for a financial transaction. The request includes an identifier for the third party and an identifier for the financial transaction. The third party is authenticated using the identifier for the third party. A data store is queried using the identifier for the financial transaction to determine the status information for the financial transaction. Any contingency information associated with the financial transaction is updated. The status information and contingency information are returned to the third party.

Abstract: In some embodiments, apparatuses and methods are provided herein useful for a retail facility to maintain information regarding product location, in part, from correlating a shopper's cart path and their purchased items with those of other shoppers. In some approaches, the methods and apparatuses may determine a cart path for a particular shopping cart by analyzing aisle markers captured by an image capturing device in the shopping cart, associate that cart path with the purchased items from that shopping cart, and compare the associated cart path and purchased items with similar information from other customers. In some examples, by comparing the associated cart paths and purchased items form a plurality of customers, an aisle location of one of the retail items is identified and the database of aisle locations and retail items may be updated accordingly.

Abstract: Assisted checkout devices, including point-of-sale stations, can use computer vision and machine learning to speed the checkout process while maintaining human verification, assistance, and customer interaction provided by human clerks. A plurality of optical sensors, including cameras, can be arranged with different views of a checkout plane upon which items being purchased by a buyer are placed. Moreover, one or more support towers can be utilized to elevate the optical sensors to vertical heights at which the checkout plane, and items placed thereon, is within the field of view of the optical sensors. The information captured by the plurality of optical sensors can be analyzed using machine learning models to detect and identify the items placed on the checkout plane.

Abstract: A fraudulent act recognition device is configured to be operatively coupled to a camera that monitors operation of a settlement terminal by a purchaser. The fraudulent act recognition device includes a controller configured to recognize a commodity registration operation of the settlement terminal initiated by the purchaser. The controller is configured to review imaging data provided by the camera to recognize an action of the purchaser who performs the commodity registration operation. The controller is configured to determine whether an action of the purchaser is indicative of a fraudulent act. The controller is configured to provide a notification in response to a determination that the action of the purchaser is indicative of the fraudulent act.

Abstract: An image processing device includes a display unit and is capable of displaying web content provided via a web browser. The image processing device includes a first display controller displays web content acquired from a content server by using access information for acquiring the web content from the content server based on an instruction to display the web content, a QR generation unit generates a code image including the access information for acquiring the web content from the content server; and a second display controller displays the code image on the display unit. The QR generation unit generates a code image and the second display controller displays the code image on the display unit in a case where the first display controller is not able to display the web content.

Abstract: A sales management device includes a communication interface and a processor. The communication interface is configured to communicate with a mobile terminal on which a user registers purchases and a clerk terminal within a store. The processor is configured to acquire terminal identification information set for the mobile terminal, acquire status information indicating an operating status of the mobile terminal identified by the terminal identification, acquire a communication connection state of the mobile terminal, and outputs the terminal identification information to the clerk terminal in response to (i) the communication connection state of the mobile terminal being unconnected and (ii) the status information of the mobile terminal acquired before the communication connection state of the mobile terminal becoming unconnected indicating a non-checkout status.

Abstract: An information processing device identifies a first feature amount related to the number of the product registered on the specific machine based on an acquired product information, generating, from an image capturing a user in front of the specific machine, a first area information, a second area information and an interaction between the first class and the second class, specifies an action of the user of registering the product to the specific machine based on the first area information, the second area information, and the interaction, identifies a second feature amount related to the number of time of carrying out the action; and generates an alert based on the first feature amount and the second feature amount.

Abstract: A method operates a sales device for goods. The method includes: detecting, using a shelf with automatic removal monitoring, a removed item and determining item data of the removed item; receiving, by a controller, the item data of the removed item; adding, with the controller, the item data of the removed item to a list of items intended for payment; and detecting, with a detector, items for which a payment transaction is to be executed, the detector having at least one sensor and an evaluator. For detecting the items, at least data of the sensor and the list of items intended for payment is made available to the evaluator as input variables.

Abstract: Methods and apparatus to indicate off-platter weigh conditions are disclosed herein.

Abstract: Item-management systems, apparatus, and methods are described, preferably for management of items such as medicaments. In embodiments, an item-management system comprises a container defining plural cells, a docking station configured to receive the container, sources of visible information to indicate the cell(s) into which an item is to be loaded, and at least one controller operable to control the visible information sources to indicate the cell into which the item is to be received.

Abstract: A method for controlling target tracking includes determining whether a tracking mode of a movable object is a manual tracking mode or an automatic tracking mode; when it is determined that the tracking mode is the manual tracking mode, determining a target for the movable object from one or more images based on a user input; when it is determined that the tracking mode is the automatic tracking mode, having the movable object determine the target automatically; and directing the movable object to track a target object using the target.

Abstract: Disclosed are systems and techniques for generating an electronic identity verification object for verifying the identity of a user. In one example, the systems and techniques can receive a current position of an electronic device associated with a user and a search request for filtering a plurality of locations. A list of available locations can be generated using the current position and the search request to determine a filtered subset of the plurality of locations. A selected location, from the list of available locations, can be received. An identity of the user can be verified to include or more user attributes. In response to verifying the identity of the user, a distance between the current position and the selected location can be determined. If the distance is below a threshold, an electronic identity verification object uniquely associated with a verified user attribute and the selected location can be generated.

Abstract: Authentication method and systems using RFID-enabled payment cards are disclosed herein where a server receives a request corresponding to authorization of a payment associated with a payment card from an electronic terminal. The server identifies an electronic device of a user associated with the payment card. The server then transmits an instruction to the electronic device to cause an RFID reader of the electronic device to determine whether an RFID tag corresponding to the payment card is located within a predetermined proximity to the electronic device. When the payment card is located within the predetermined proximity, the server executes a first authentication protocol. Moreover, when the payment card is not located within the predetermined proximity, the server executes a second authentication protocol, wherein the second authentication protocol is more restrictive than the first authentication protocol.

Abstract: Methods for personalized marketing and advertising to a person at a location, such as a retail store. Generally, the methods are for monitoring and analyzing consumer and their purchasing behavior in real-time to drive sales by creating personalized marketing and advertising directed to the consumer.

Abstract: A processor is programmed with instructions to receive coupon data from a program creator. The coupon data defines a coupon and/or coupon program. The processor creates a first unique coupon program ID for the coupon data and writes the first unique coupon program ID and the coupon data to a database table. The processor transmits the first unique coupon program ID to the program creator. The processor also receives, from a user computing device, a coupon request message. The coupon request message includes a second unique coupon program ID. The processor extracts the second unique coupon program ID, retrieves the first unique coupon program ID, and matches the second unique coupon program ID to the first unique coupon program ID. Based on the matching, the processor generates a digital coupon token and transmits the digital coupon token to the user computing device via the communications interface.

Abstract: This application relates to apparatus and methods for identifying anomalies within data, such as pricing data. In some examples, a computing device receives data updates and selects a machine learning model to apply to the data update. The computing device may train the machine learning model with features generated based on historical purchase order data. An anomaly score is generated based on application of the machine learning model. Based on the anomaly score, the data update is either allowed, or denied. In some examples, the computing device re-trains the machine learning model with detected anomalies. In some embodiments, the computing device prioritizes detected anomalies for further investigation. In some embodiments, the computing device identifies the cause of the anomalies by identifying at least one feature that is causing the anomaly.

Abstract: A system detects a transaction outcome by obtaining video data associated with a transaction area and analyzing the video data to obtain at least one video transaction parameter concerning transactions associated with the transaction area. The transaction area can be a video count of items indicated in the video data as detected by an automated item detection algorithm applied to the video data. The system obtains at least one expected transaction parameter concerning an expected transaction that occurs in the transaction area, such as a scan count of items scanned at a point of sale terminal. The system automatically compares the video transaction parameter(s) to the expected transaction parameter(s) to identify a transaction outcome that may indicate fraudulent activity such as sweethearting in a retail environment.