In some embodiments, apparatuses and methods are provided herein useful to establish retail point-of-sale (POS) hardware management systems, comprising: an intermediary system control circuit configured to execute computer program modules comprising: a hardware management module configured to operate as an intermediary module between multiple different sets of client POS systems, a plurality of different sets of hardware systems, and a plurality of shared resource applications. The hardware management module comprises a plurality of hardware manager sub-modules each corresponding to one of the sets of hardware systems. Each of the hardware manager sub-modules is configured to output communications and receive communications, for a corresponding one set of hardware systems of different sets of hardware systems, in accordance with a single predefined hardware communications protocol, of a set of predefined hardware communications protocols, corresponding to the set of hardware systems regardless of a type of hardware system or manufacturer.

In some embodiments, systems and methods are provided to recognize retail products, comprising: a model training system configured to: identify a customer; access an associated customer profile; access and apply a set of filtering rules to a product database based on customer data; generate a listing of products specific to the customer; access and apply a model training set of rules to train a machine learning model based on the listing of products and corresponding image data for each of the products in the listing of products; and communicate the trained model to the portable user device associated with first customer.

According to one or more embodiments, a settlement processing device includes an interface and a processor. The interface communicates with a reading device. The processor acquires an image of a commodity captured by the reading device via the interface, obtains symbol information based on the captured image, executes settlement processing based on the symbol information, and stores the captured image and the symbol information in correlation with each other in a storage device.

An intelligent shelf management system and operating method are revealed. The system includes an operating and display device by which users input their demands of goods; an information module electrically connected to the operating and display device and comprising a database of goods and an analysis module which receives and analyzes the demands of goods input and finds out product information matched after comparison with information in the database; a content management system electrically connected to the information module and receiving the product information from the analysis module; and a point-of-sale system having a plurality pieces of related sales information and electrically connected to the content management system or the information module. The content management system compares the product information with the plurality pieces of related sales information to collect and send the related sales information matched to the operating and display device.

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.

Various embodiments herein each include at least one of systems, methods, software, and data structures for product identifier not-on-file imaging system and processing. Some such embodiments include solutions that automate capturing and communicating images of imaged items for which an item identifier (e.g., UPC, DIGIMARC) cannot be located to facilitate correction and updating of product lookup databases to remove inefficiencies and sub-optimal experiences and realization at checkout. One such embodiment in the form of a method includes delivering, to a product pricing update location, an image of an item presented to a product scanner for scanning upon an occurrence of an item-not-on-file event indicating an unsuccessful price lookup database query performed with regard to an item identifier read by the product scanner from the presented item.

An information terminal for a merchandise registration system includes a camera to read a code for identifying a merchandise item and a display to display a first screen for supporting the reading of the code. A processor transmits the code to a server and receives merchandise data corresponding to the code. The processor switches between a successive-reading mode and a single-reading mode when a setting of a mode operator displayed on the first screen is changed by a user. When in the successive-reading mode, the processor displays the corresponding merchandise data in a part of the first screen and permits successive reading of codes by the camera. When in the single-reading mode, the processor displays the merchandise data in a second screen that is different from the first screen.

Techniques for automatic recognition of items for point of sale (POS) systems are disclosed. A request to identify a first item for purchase is received. The request includes a first image captured at a POS system. The first image is analyzed using a machine learning model configured for image recognition, and in response a first product code is determined for the first item. This includes identifying the first product code as a primary product code from among a plurality of product codes, identifying a second item relating to the first item, where the second item is visually similar to the first item, and determining a second product code for the second item. The first product code, and the second product code, are transmitted to the POS system. The POS system is configured to present the first item and the second item as options for purchase using a user interface.

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.

According to the some non-limiting embodiments, there is provided an information processing apparatus including a display control unit 13 that causes a display provided on a surface on which an object is placed, to display a first image including a predetermined display element, and a conversion rule generation unit 15 that acquires a second image generated by an imaging apparatus having an imaging range including the display and generates a conversion rule for converting coordinates in the image of the imaging apparatus into coordinates in the display, by using a detection result of the display element in the second image.