Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.

A retail store automated checkout system uses images, video, or depth data to recognize products being purchased to expedite the checkout process and improve accuracy. All of a store's products, including those not sold in packages, such as fruits and vegetables, are imaged from a series of different angles and in different lighting conditions, to produce a library of images for each product. This library is used in a checkout system that takes images, video, and depth sensor readings as the products pass through the checkout area and remove bottlenecks later in the checkout process. Recognition of product identifiers or attributes such as barcode, QR code or other symbols, as well as OCR of product names, as well as the size and material of the product, can be additional or supplemental devices for identifying products being purchased. In another embodiment, an existing checkout or self-checkout scanner is enhanced with image recognition of products to achieve the same effect.

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.

According to an embodiment, a payment apparatus acquires a data file in which data relating to sale of a commodity is recorded, the data being input through a terminal operated by a customer in a sales floor. The payment apparatus provides the customer with a notification for determining whether or not the customer has service specifying information for specifying a service to be provided to the customer on condition that the data file is acquired. The payment apparatus receives an input of the service specifying information when an instruction input indicating that the customer has the service specifying information is received in responses to the notification.

A first imager has a relatively high resolution and a relatively narrow first field-of-view. Information about objects in an environment is detected or captured, and used to steer the first field-of-view of the first imager. The sensor(s) may take the form of a second imager with a relatively lower resolution and relatively wider second field-of-view. Alternatively, other types of sensors, for instance presence/absence sensors may be employed. The first field-of-view may be directed toward an object that satisfies one or more conditions, for instance matching a particular SKU. The first field-of-view may track a moving object, for instance via a tracking mirror and actuator. This approach may be employed in retail locations, for example in grocery or convenience stores, for instance to reduce various forms of theft or in industrial environments.

The present disclosure relates to an information processing method, device, system and computer-readable storage medium, which relates to the field of computer technology. The method of the present disclosure includes: obtaining an identification of an offline item in response to a case that a terminal of a user scans an identification code on the item to successfully obtain a possession or use right of the item; determining an identification of a Radio Frequency Identification (RFID) tag on the item according to the identification of the item; and modifying the RFID tag or a state corresponding to the RFID tag according to the identification of the RFID tag to cause the item to be determined as having passed a checkout verification when the RFID tag is read.

A computer-implemented method, computer program product, and computer system for preventing losses due to mismatches during checkouts in a store. The computer system causes one or more sensors to capture one or more attributes of an item being checked out by a customer. The computer system matches the captured one or more attributes to one or more attributes corresponding to one of a barcode scanned, a number keyed in, and an item name chosen by the customer. The computer system pauses a checkout process, in response to a mismatch. The computer system calculates a difference between a price corresponding to one of the barcode, the number, and the item name and an actual price of the item. The computer system, in response to determining a significant loss occurring to the store, notifies the store to correct the mismatch and processes a transaction of the item at the actual price.

According to one embodiment, a commodity registration device for a self-service checkout system includes a display screen, a processor, and communication interface connectable to a registration support server. The processor is configured to receive an input of a commodity code identifying an item to be included in a customer transaction, then receive and store commodity detail data from the registration support server. The commodity detail data includes a commodity name and a price of the item corresponding to the commodity code. The processor causes the display screen to display commodity data for items included in the customer transaction in a list format. The commodity detail data of items in the list format associated with a price-cut condition are displayed in a distinguishable manner for those items in the list format that are not associated with any price-cut condition.

A transaction processing system includes a register, a settlement calculator, a receiver, and a controller. The register is configured to receive a communication from a terminal used by a customer. The communication indicates that a target commodity is to be purchased by the customer at the terminal. The settlement calculator is configured to perform settlement processing to facilitate settlement by the customer for a price associated with the target commodity. The receiver is configured to determine whether the target commodity is a commodity requiring confirmation. The receiver is also configured to acquire data associated with the target commodity in response to determining that the target commodity is a commodity requiring confirmation. The controller configured to compare the data to predetermined release data and to cause the settlement calculator to perform the settlement processing in response to the data being the predetermined release data.

The present disclosure generally relates to a method and a hardware and software system for collecting data from retail point of sale. The hardware connects to a wide variety of barcode scanners and receipt printers. Collected data is transmitted to a cloud-based infrastructure backend system using a wireless internet connection built into the hardware. The collected data can be processed to extract item-level transaction information, and estimate the price and in-stock status of items in particular shops. A search engine can be provided using this data, which allows a customer to discover which nearby shop has an item of interest in stock. A targeted advertising system that complements this search service is also presented. The data can be used by retailers and manufacturers for business analysis and optimization.