A method and system for generating perceivable data representing a digital order is provided. A GUI receives a user selection of a particular button of a plurality of buttons. Each button of the plurality of buttons is for adding a respective menu or catalog item to a checkout cart. The particular button displays within its border at least one line of copy and at least one emoji, where the at least one emoji indicates the respective menu or catalog item. The at least one line of copy provides a text description of the respective menu or catalog item and is displayed in at least a minimum font point size and at least a minimum color contrast ratio relative to a background of the particular button. The GUI is then updated to indicate that the respective menu or catalog item for the particular button is added to the checkout cart.

An information processing system includes a first imaging unit and a controller configured to perform processing relating to an image that is captured by the first imaging unit. The controller performs the processing based on an image captured at a first stage at which an object is put into a container and an image captured at a second stage at which the object is taken out of the container.

A system for generating a shopping checkout list of items selected by a shopper in a store including: in-store security cameras; a cart scanner and a cart analyzer configured to generate a shopping checkout list based on the data received from the cart scanner; and a shopping list builder (SLB) configured to record images from the security cameras of the shopper's activity in the store to form recorded images, wherein, when the SLB requires verification of an item in the generated shopping checkout list, the SLB is further configured to analyze the recorded images to determine selection of an item by a shopper to thereby verify the item on the shopping checkout list.

This disclosure describes, in part, systems for enabling facilities to implement techniques to determine when users are in possession of items when located within and/or exiting the facilities. For instance, a system may use one or more sensors to determine locations of a user that navigated through a facility. Additionally, the system may use one or more sensors to determine locations of an item while the item was located within the facility. The system may then determine a probability that the user was in possession of the item when in the facility and/or when exiting the facility based at least in part on the locations of the user and the locations of the item. If the system determines that the user was in possession of the item when exiting the facility, the system may charge a payment instrument of the user for a price of the item.

An item recognition system uses a top camera and one or more peripheral cameras to identify items. The item recognition system may use image embeddings generated based on images captured by the cameras to generate a concatenated embedding that describes an item depicted in the image. The item recognition system may compare the concatenated embedding to reference embeddings to identify the item. Furthermore, the item recognition system may detect when items are overlapping in an image. For example, the item recognition system may apply an overlap detection model to a top image and a pixel-wise mask for the top image to detect whether an item is overlapping with another in the top image. The item recognition system notifies a user of the overlap if detected.

In an aspect, the present disclosure includes a method, apparatus, and non-transitory computer readable medium for wireless communications for initiating, by a provisioning system, a provisioning procedure to configure and update a device that initiates an initial connection to a wireless network based on a unique identifier of the device; and establishing, by the provisioning system, a secure socket with the device based on the provisioning procedure.

In some examples, a system and method for pairing a payment object reader with a point-of-sale (POS) terminal is described herein. The payment object reader includes one or more light indicators configured to display information in an optical pattern of one or more colors, brightness, lightness, and intensities, wherein the light indicators display a first optical pattern representative of an operational status of the payment object reader in a first mode, and a second optical pattern representative of a pairing code in a second mode. A display control component, executed by a processor, is configured to control the light indicators in accordance with the pairing code to generate the second optical pattern, the second optical pattern when shared with the POS terminal enables pairing between the payment object reader and the POS terminal. When paired, the payment object reader allows the POS terminal to accept payments from a customer.

According to an embodiment, a store management system includes a store entry management device and a sales management device. The store entry management device reads identification data, of a shopper, for using the electronic receipt service from an information terminal of a shopper who wants to enter the store. The sales management device causes the store entry management device to permit the shopper to enter the store when the settlement data can be acquired based on the read shopper identification data.

A registration checking apparatus (2000) determines, for a target transaction, whether a relation between the number of times scanning actions are performed and the number of products registered as checkout targets satisfies a predetermined condition. The scanning action is detected by analyzing a video (12). The registration checking apparatus (2000) performs predetermined output processing when the relation does not satisfy the predetermined condition. The predetermined condition is a condition being satisfied when the number of registered products is equal to or greater than the number of detected scanning actions.

In accordance with various embodiments, a method (100) for the computer-aided recognition of a transport container (402) being empty can comprise: determining (101) one or more than one segment of image data of the transport container (402) using depth information assigned to the image data; assigning (103) the image data to one from a plurality of classes, of which a first class represents the transport container (402) being empty, and a second class represents the transport container (402) being non-empty, wherein the one or more than one segment is not taken into account in the assigning; outputting (105) a signal which represents the filtered image data being assigned to the second class.