Patent classifications
G07F19/211
Cash processing system, cash processing method, portable terminal and cash processing machine
A cash processing system capable of preventing erroneous operations by an operator during cash transfer processing and enabling the cash transfer to be executed efficiently. This system comprises a first cash processing machine for performing an outgoing cash transfer, a second cash processing machine for performing an incoming cash transfer, and a portable terminal. The portable terminal is equipped with a display unit, an operation unit for receiving input of cash transfer information, including cash information, and a communication processing unit. Upon receiving outgoing cash transfer information included in the cash transfer information from the portable terminal, the first cash processing machine pays out cash based on the outgoing cash transfer information. Upon receiving incoming cash transfer information included in the cash transfer information from the portable terminal, the second cash processing machine receives cash based on the incoming cash transfer information.
CONTACTLESS OBJECT DISPENSING FROM OBJECT-DISPENSING MACHINES
Contactless dispensing of objects from object-dispensing machines. A digital token is wirelessly communicated to the machine via short-range wireless communication, such as Near Field Communication (NFC) or the like. In response, a push notification is communicated to the user's wireless device, which includes an activatable link for launching a mobile application. In response to launching the mobile application and authenticating the user, the mobile application provides object-dispensing machine-like user interfaces that are configured to allow the user to input object requesting parameters and submit a request for objects to be dispensed from the object-dispensing machine. The request is communicated to the object-dispensing machines (or corresponding backend processing systems) and, once the request is verified, the object-dispensing machine dispenses the requested objects.
VIDEOCONFERENCING WITH A CUSTOMER DEVICE
In an example embodiment, there is described herein an automated banking machine with a user interface that enables a customer perform a financial transaction. The automated banking machine also comprises a first interface for communicating with a remote service provide and a second interface that can communicate with a customer service device. Upon receiving an input from the customer requesting assistance, the automated banking machine establishes a communication link between the remote service provider and the customer device. The communication link enables audio, video, or a combination of audio and video data to be sent between the customer device and the remote service provider.
AUTOMATIC TELLER MACHINE SYSTEM FOR AUTHENTICATING A USER DEVICE
A system includes a customer authentication system and an automatic teller machine (ATM). The ATM includes a display, one or more memory devices storing software instructions, and one or more processors configured to: execute the software instructions to perform operations to display an item on display; store information regarding the item; receive from a customer device captured information regarding the item; receive from the customer device identifying information of a customer; send the identifying information to the customer authentication system; compare the captured information with the information stored in the one or more memory devices; authenticate the customer device based on the comparison; and allow access to the customer account via the ATM after the authentication.
METHODS AND SYSTEMS FOR DEMONSTRATING A PERSONALIZED AUTOMATED TELLER MACHINE (ATM) PRESENTATION
A computer-implemented method for demonstrating a personalized automated teller machine (ATM) presentation to a user may include: obtaining transaction data of the user via a device associated with the user; obtaining, via the one or more processors, geographic data of the user based on the transaction data; generating, via the one or more processors, ATM data based on the geographic data of the user; obtaining, via the one or more processors, user feedback data based on the ATM data, wherein the user feedback data comprises a selection of an ATM of the list of the ATMs; transmitting, to the selected ATM of the list of the ATMs, presentation data based on the transaction data and the user feedback data; and demonstrating, via the selected ATM of the list of the ATMs, the personalized ATM presentation to the user based on the presentation data.
CASH RECEIVING SYSTEM AND CASH RECEIVING METHOD
A cash receiving system includes: a cash handling apparatus installed in each store; a store server configured to manage cash stored in the cash handling apparatus; a mobile terminal configured to input information on the cash to be withdrawn from the account of the user; a management server configured to receive the information from the mobile terminal, and transmit to the mobile terminal information on a store to receive the cash; and a financial institution server configured to receive information on the cash, and perform account handling for transferring an amount of the cash from the account of the user to an account of the store. When the store server has determined that the store has cash to be deposited into the account of the store, the management server notifies the user of information on the determination result.
External feature integration system and method
A system for providing a predetermined set of functionality to primary applications is provided. The system includes a primary application interface that receives a user identifier, primary application configuration data and an application identifier associated with one of the primary applications from a plurality of primary applications, wherein the user identifier and the application identifier for each of the primary applications are different. A feature functionality system alters one or more features to match the primary application, the feature functionality system configured to provide a feature to a user associated with the user identifier and to transfer a primary application currency amount to the primary application or to award the user a prize upon completion of the feature by the user. A billing system interface unlocks external feature functionality for a certain number of interactions or a certain time period or generates the primary application currency amount.
Automatic teller machine system for authenticating a user device
A system includes a customer authentication system, and an automatic teller machine (ATM). The ATM includes a display, one or more memory devices storing software instructions, and one or more processors configured to execute the software instructions to perform operations to: display an item on the display; store information regarding the item; receive from a customer device captured information regarding the item; receive from the customer device identifying information of a customer; send the identifying information to the customer authentication system; compare the captured information with the information stored in the one or more memory devices; authenticate the customer device based on the comparison; and allow access to the customer account via the ATM after the authentication.
Zero Client Self-Service Terminal (SST) with Middleware Delivered Services
An ultra-thin Self-Service Terminals (SSTs) is provided. The ultra-thin SST lacks an Operating System (OS). When the ultra-thin SST is powered on, firmware of the ultra-thin SST connects to a virtualized environment over a first network connection and a Virtual Machine (VM) instance having the OS is loaded within the virtualized environment. The OS of the VM instance obtains middleware services from a second network connection to a middleware environment. The middleware services provided authentication, management, and audit services for the VM instance based on the ultra-thin SST.
SYSTEMS AND METHODS FOR PREDICTING PERFORMANCE
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.