According to one embodiment, a merchandise sales transaction processing system includes a registration processing device to register items being purchased in a transaction, generate settlement information for the transaction based on the registered items, and store the generated settlement information in a storage device. A plurality of settlement devices are associated with the registration processing device. Each settlement device is configured to check for settlement information in the storage device, acquire the settlement information if the settlement information is stored in the storage device and at least one of the settlement devices is available for executing settlement processing based on the settlement information. The settlement device itself executes the settlement processing if it is available or, if it is unavailable, transmits the settlement information to another one of the settlement devices.

According to one embodiment, a registration device for a transaction processing system includes a communication interface connected to a plurality of settlement devices via a network. The plurality of settlement devices includes a first settlement device and a second settlement device. A processor of the registration device is configured to generate settlement information required for settlement of a merchandise transaction based on the registration of items in the merchandise transaction, and then transmit the settlement information to the first settlement device. If the transmission of the settlement information to the first settlement device fails, the processor records transaction specifying information on a medium that can be given to a customer. The transaction specifying information identifies the settlement information corresponding to the merchandise transaction. The processor also store the settlement information in a storage unit when the transmission to the first settlement device fails.

A self-checkout system includes: a checkout device that checks out a product registered by a portable terminal; a camera that captures an image of a scene where a customer attempts to resister the product; a detector that detects a registration failure state where registration of the product is determined to have failed during a period in which the registration of the product according to a single transaction is attempted; and a display that displays, during a period in which the checkout device is checking out the product registered according to the single transaction, the detected registration failure state.

A device detection system is configured to determine whether a device is located within a venue. The device detection system detects pings from the device to determine whether the device is located within the venue. The device detection system receives point-of-sale data for a transaction from an entity associated with the venue. The point-of-sale data may be compared to data describing the detected device to determine whether the transaction was conducted by a customer associated with the detected device. The device detection system may correlate the point-of-sale data with content that was viewed by the customer to determine whether the content resulted in the customer visiting a venue and making purchases at the venue.

Method for monitoring the presence of a point-of-sale display in a shop, at the sight of consumers, the method comprising: acquiring signals from mobile devices by at least one signal sensor, sending one output from the signal sensor to an analyzing device, wherein the analyzing device: calculates an audience rate of the point-of-sale display on the basis of the output, and determines, on the basis of the audience rate, if the point-of-sale display is in the shop at the sight of consumers or not.

A method for detecting fraud in the event of the purchase of at least one item by at least one user, the method including at least a step of capturing a plurality of data, including at least the following steps, a step of processing, by the computer processing unit, the plurality of data, including at least the following steps, a step of determining a probability of fraud.

A reading device includes a first support member extending vertically, a scanner attached to the first support member and including a window facing a first direction and through which an item can be scanned by an operator, an extension member attached to an upper portion of the first support member and extending in the first direction above the scanner, a camera attached to an end of the extension member in the first direction and configured to capture an image of the operator, and a controller configured to issue a notification signal when the controller detects from the captured image that the operator is carrying out a predetermined operation.

According to a first aspect of the invention, there is provided a system for collection of products, the system comprising: at least one carrier (8) for carrying products (40); a collection point (14), at which collection point a user (10) of the system can remove products from the carrier; and a transporter arrangement (16, 20) for transporting the carrier to the collection point; wherein the system is arranged to physically inhibit (42) removal of the carrier by the user from the collection point.

Disclosed are self-checkout terminals and systems and methods for controlling the same. The systems and methods may include receiving a first image of the customer queuing area from the first camera and determining that a customer is in the customer queuing area. A first wakeup signal may be transmitted to one of the self-checkout terminals when the customer is in the customer queuing area. A second image of the customer queuing area may be received from the first camera and a determination may be made that the customer queuing area is void of customers. A first sleep signal may be transmitted to the one of the self-checkout terminals when the customer queuing area is void of the customers.

Transaction records for self-service checkout transactions are provided in real-time to a customizable machine-learning rescan audit service. Any retailer defined settings with respect to random audits are enforced by the service and the real-time transaction records are provided to a machine-learning model that returns rescan scores based on the real-time transaction records. The service compares the rescan scores in view of retailer-defined suspicious scores for both a full rescan of a given checkout transaction and a partial rescan of the given checkout transaction. The service alerts the retailer when a rescan audit is predicted to be warranted for any given self-service checkout transaction based on random selection or based on the computed rescan score. The machine-learning model is continuously and regularly retrained. In an embodiment, the service provides reports, a dashboard, and mining of the transaction records and the audits to the retailer though a service-provided interface.