Facilitating transaction status indications for point-of-sale (POS) systems is described. A POS application stored on a POS terminal of a POS system may communicate with a payment reader device coupled to the POS terminal and a payment server application. The POS application may receive, from a customer device associated with a customer and via a short-range communication network, payment information for satisfying a cost of a transaction. The POS application may send the payment information to the payment server application to attempt to authorize the payment information for the cost of the transaction and may receive, from the payment server application, an indication of a status of the transaction. Responsive to receiving the indication of the status of the transaction, the payment reader device and the customer device may output respective aspects of a transaction status indication associated with the status of the transaction.

A point of sale application may initially process a transaction between a customer and a merchant. While the point of sale application processes the transaction, an add-on application may monitor a current state of a user interface of the point of sale application. Upon recognizing a triggering event associated with the current state of the user interface, the add-on application may take over the processing of the transaction from the point of sale application. Upon completion of the processing of the transaction, the add-on application may return a result of the transaction to the point of sale application by emulating user actions on the user interface of the point of sale application.

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.

A detection apparatus for detecting abnormal operations at a point of sales (POS) terminal in a POS system that includes the POS terminal and an attendant terminal for monitoring the status of the POS terminal. The detection apparatus includes a camera interface connected to a camera for capturing images of customers operating the POS terminal, a network interface to communicate with a display control apparatus for the attendant terminal, and a processor configured to identify an action performed by a customer using an image thereof, identify an operation performed on the POS terminal by the customer based on changes in monitoring screen data generated by the display control apparatus for the attendant terminal, detect whether an abnormal operation is performed by the customer based on the identified actions and operations, and control the network interface to transmit a notification to the attendant terminal when an abnormal operation is performed.

According to one embodiment, a maintenance support device includes a first acquisition unit, a second acquisition unit, a generation unit, and an output unit. The first acquisition unit acquires first image data displayed on a screen of a display unit of a merchandise registration device. The second acquisition unit acquires operation data related to an operation of the merchandise registration device. The generation unit generates second image data including the first image data and the operation data corresponding to the first image data in time. The output unit outputs the second image data generated by the generation unit.

Methods of performing transactions with a payment card comprising an integrated circuit are disclosed comprising interacting with an integrated circuit on a received payment card and inferring an application corresponding to a card brand and card type of the payment card, or retrieving a map of the integrated circuit to read records on the integrated circuit based on the map, are disclosed. Corresponding devices, such as PIN pads, and computer products are also disclosed.

A method for contactless payment relay attack protection includes receiving an online authorization request including a cryptogram, a measured processing time, and a reference processing time from a terminal. The cryptogram is verified, and a determination is performed as to whether the measured processing time exceeds the reference processing time. An online authorization response authorizing or declining a monetary transaction is transmitted, based on the determination. An artificial intelligence transaction analysis can be performed based on past and current conditions (e.g., battery level, operating system, open applications) of a payment device such as a mobile phone, past and current conditions of a terminal, and/or a monetary amount. The online authorization response can be based on the artificial intelligence transaction analysis.

A method of payment terminal operation, including: receiving a payment collection request for a payment from an application, generating a payment initiation request for the payment, sending the payment initiation request to a secure processing system, switching the secure processing system from operation in an unsecured mode to operation in a secured mode in response to receipt of the payment initiation request, facilitating payment information entry, and receiving a payment response notification, generated based on the payment information, at the main processor.

A technique for remote access via a computing device is discussed. In one embodiment, a computing device receives data indicative of a card number associated with a bank-issued debit card. The debit card is associated with a bank account at a bank that issued the bank-issued debit card. The computing device also receives data indicative of an amount of cash to be deposited into the account based on an amount of cash provided at the computing device location. Encrypted data indicative of the card number and the data indicative of the amount of cash is routed to a gateway vendor server and is further routed to a payment network server for deposit of an amount corresponding to the data indicative of the amount of cash into the bank account associated with the card number.

The present disclosure relates to system and methods for predicting performance caused by software code changes. For this purpose, an augmented machine learning model predicts a latency of software module with updated code executed in a production environment. In some aspects, the latency is predicted based on a change of deviation that is determined by comparing the latency of the software module with updated code and the latency of the software module without updated code, whereas the software modules are executed in environments different from the production environment.