One embodiment of the disclosure relates to a system of servicing an automated teller machine (ATM) using a display configured to display augmented reality images. The electronic device may be configured to receive low-level diagnostic information from the malfunctioning ATM. Data may be transferred to a central location, wherein the data is analyzed and a solution to the problem of the malfunctioning ATM is determined and transferred back to the electronic device. In some embodiments, the electronic device displays components of the ATM using augmented reality such that a technician viewing the display may visualize the components of the ATM and receive instructions regarding the repair or care of the ATM.

A money handling system which is a transport destination allows easy handling of money processed in a first money handling apparatus which is a transport origin and installed in a shop and the like. The money handling system includes: a second money handling apparatus that receives, recognizes and counts money of a plurality of transactions processed by the first money handling apparatus, in a state where the money of each transaction cannot be distinguished per transaction; and a determination unit that acquires money information generated when the money of the plurality of transactions has been processed by the first money handling apparatus, and based on the money information and a recognition and counting result obtained by the second money handling apparatus, determines whether the money of the plurality of transactions recognized and counted by the second money handling apparatus matches with the money of the plurality of transactions processed by the first money handling apparatus.

An automated teller machine (ATM) diagnostic and repair system includes an image capture device, a display, a processor, and a memory. The image capture device is configured to capture at least one of images or videos. The memory includes instructions stored thereon that, when executed by the processor, cause the processor to receive diagnostic data from an ATM. The instructions, when executed by the processor, further cause the processor to capture at least one of an image or a video of the ATM using the image capture device. The instructions, when executed by the processor, further cause the processor to receive a selection of a particular component of the ATM from a user and to provide at least one of an augmented image or an augmented video of the ATM including a modified view of the particular component.

A device may detect, in a field of view of a camera, one or more components of an automated teller machine (ATM) device using a computer vision technique based on generating a three dimensional model of the one or more components. The device may identify the ATM device as a particular device or as a particular type of device based on the one or more components of the ATM device, or first information related to the ATM device. The device may identify a set of tasks to be performed with respect to the ATM device. The device may provide, for display via a display associated with the device, second information associated with the set of tasks as an augmented reality overlay. The device may perform an action related to the set of tasks, the ATM device, or the augmented reality overlay.

Systems are provided for providing contextualized user recapture solutions. A user interaction contextualization system may receive a notification of a user accessing one of the organization's services via a user device. Responsive to the notification, the user interaction contextualization system may collect and analyze contextual data from various data sources, and real-time and historical user engagement data associated with the user. The user interaction contextualization system may then use the collected data to determine the user's likelihood of abandonment of the organization's services. Based on the likelihood of abandonment, the user interaction contextualization system may initiate one or more user recapture solutions.

Cash trapping at an Automated Teller Machine (ATM) is detected in real time. One or more images from one or more cameras are analyzed. The camera(s) is/are focused overhead of the ATM or on a cash slot of a dispense module for the ATM. The images are analyzed for determining one or more of whether the dispenser module is authentic, whether the cash slot opened or did not open when it should have opened for a cash withdraw, whether visual features of the dispense module have changed over a configurable period of time, and whether hands, gestures, and actions of a person present at the ATM indicate that cash trapping is taking place at the ATM. When cash trapping is detected at the ATM a variety of automated actions are processed, such as shutting down the dispense module, shutting down the ATM, notifying a financial institution, and/or notifying legal authorities.

Data is collected for Self-Service Terminals (SSTs) including tallies, events, and outcomes associated with servicing the SSTs. Statistical correlations are derived from the tallies and events with respect to the outcomes. Subsequent collected data is processed with the statistical correlations and a probability for a failure of a component or a part of the component associated with a particular SST is reported for servicing the component or part before the failure.

In accordance with an embodiment, an image forming apparatus comprises an image forming section configured to form an image on a sheet; a sheet discharge port through which the sheet is discharged; a sheet conveyance roller configured to convey the sheet to the sheet discharge port; a movable sheet guide, arranged in such a manner that an imaginary line connecting a portion contacting the sheet of the sheet conveyance roller with the sheet discharge port passes through a cross-sectional area, configured to be capable of moving in a direction away from a surface of the sheet; and a guide sensor configured to detect movement of the movable sheet guide.

In some implementations, a transaction device may include a display screen, at least one photosensitive sensor configured to detect a luminance of a viewing surface of the display screen, and one or more processors. The one or more processors may be configured to monitor an output of the at least one photosensitive sensor, determine that the output is indicative of an obstruction on the display screen based on the output indicating a change to the luminance of the viewing surface of the display screen, and disable one or more operations of the transaction device based on determining that the output is indicative of the obstruction on the display screen.

Automatic teller machine network management control system executes a deterministic optimization process based on a deterministic forecasted withdrawal demand to determine a cash refill amount, and executes a stochastic simulation process to determine an overall automatic teller machine network management cost based on a stochastic forecasted withdrawal demand and the cash refill amount. The executing of the deterministic optimization process and the executing of the stochastic simulation process are iterated based on updated scaling parameter from the stochastic simulation process and the cash refill amount determined by the deterministic optimization process at current iteration until a termination threshold is met. A target scaling parameter that minimizes the overall automatic teller machine network management cost out of all iterations is determined, and target cash refill amount and time specification for refilling the automatic teller machine are determined based on executing the deterministic optimization process with the target scaling parameter.