Abstract: Systems, methods, and apparatuses described herein relate to a method for delivering cash to a user. The method includes receiving a cash delivery request from a first user device of the user. The method includes generating a cash authentication code (CAC) for the cash delivery request to be verified by a cash dispenser machine. The method may include transmitting the cash delivery request and the CAC to a second user device of a driver. The method may include determining a route for the driver from a first location of the driver, to a second location of a cash dispenser machine, and to a third location of the customer to deliver the cash delivery request. The method may include instructing the cash dispenser machine to dispense cash in response to authenticating the second user device based on the CAC and determining that the first current location is at the second location.

Abstract: A system includes a tabletop touchscreen display and a processing circuit comprising a processor coupled to non-transitory memory, wherein the processing circuit is configured to pair with a customer device associated with a customer, cause an image comprising sensitive customer information to be displayed on the tabletop display and cause at least a portion of the sensitive customer information to be simultaneously displayed on the paired customer device, receive a security trigger event indicative of a third party being proximate the smart table, and cause the sensitive customer information to be obscured on the tabletop display based on receiving the security trigger event.

Abstract: A system includes a cassette structured to manage a plurality of bills, a first sensor structured to provide denomination information, a bill storage component, and a picker system structured to traverse the bill storage component. The system also includes memory having stored thereon instructions that, when executed by one or more processors, cause the one or more processors to determine the denomination of the plurality of bills, generate a bill list, receive a transaction request indicating a specific denomination for dispensing, identify a storage position of a target bill from the bill list, and cause the picker system to traverse the bill storage component to the storage position of the target bill to retrieve the target bill for dispensing.

Abstract: A utility device for receiving and dispensing bills is disclosed. The utility device includes a sensor structured to detect a parameter associated with the bills received by the utility device, a cleaning component structured to perform a cleaning operation on one or more of the bills, and memory having stored thereon instructions that, when executed by one or more processors, cause the one or more processors to perform a utility operation. The utility operation includes receiving quality data from the sensor. The operations also include causing the cleaning component to perform the cleaning operation on one or more of the bills based on at least the quality data. The one or more bills represent a subset of bills available in a cash-bearing cassette, which remains operational throughout the cleaning operation. The operations also include transmitting a notification to a remote computing device in response to completing the utility operation.

Abstract: A system including a smart table includes a table display screen and a processing circuit configured to control an image displayed on the table display screen, send a pairing request to a customer device, pair with the customer device, pair with a provider device, mirror the image displayed on the table display screen on a customer display screen of the customer device and on a provider display screen of the provider device, receive a first customer input from the customer device based on the customer interacting with the image mirrored on the customer display screen, modify the image displayed on the table display screen to display the first customer input in real-time with respect to the customer interacting with the image, and mirror the modified image showing the first customer input on the provider device.

Abstract: A provider computing system provides a mobile banking application to a user mobile device. The mobile banking application is configured to activate a contextual provider location mode when the user enters a provider location. The contextual provider location mode presents a plurality of modifications to both appearance and operation of the mobile banking application. Each modification is in response to an analysis performed by a context circuit of the mobile banking application. The modifications serve to facilitate the user's experience at the provider, enabling the user to perform their intended tasks in an easier more efficient manner. Additional data pertaining to the user's tasks and behavior are further categorized and transmitted back to the provider, enabling further accuracy and improvements during subsequent visits.

Abstract: Techniques are described for enabling a user to access a secure system based on vital signs of the user that are collected by a wearable device worn by the user. The vital signs of the user may be used as an extra level of security when accessing the secure system. For example, a computing device may automatically validate that a user requesting access to a secure system is a person and not a robot based on receipt of vital signs of the user. As another example, a computing device may operate as a secure access badge that first analyzes vital signs of a user to confirm that the user is not in distress before sending an access signal to gain access to a secure system. In either example, the computing device may be a wearable device, or be paired to a wearable device to receive the vital signs.

Abstract: Techniques are described for enabling a user to access a secure system based on vital signs of the user that are collected by a wearable device worn by the user. The vital signs of the user may be used as an extra level of security when accessing the secure system. For example, a computing device may automatically validate that a user requesting access to a secure system is a person and not a robot based on receipt of vital signs of the user. As another example, a computing device may operate as a secure access badge that first analyzes vital signs of a user to confirm that the user is not in distress before sending an access signal to gain access to a secure system. In either example, the computing device may be a wearable device, or be paired to a wearable device to receive the vital signs.

Abstract: An application can be converted to new programming language or framework. A source application written for a legacy framework is analyzed and divided into smaller segments of code. The smaller segments are evaluated for quality in view of best practices design for writing applications. A rubric is determined for each segment and compared to a best practice threshold. Segments can be evaluated for features that can be passed through a model. The model converts the features into new code adapted for target framework. Machine learning and rules databases are updated with details of the conversion.

Abstract: Techniques are described for enabling a user to access a secure system based on vital signs of the user that are collected by a wearable device worn by the user. The vital signs of the user may be used as an extra level of security when accessing the secure system. For example, a computing device may automatically validate that a user requesting access to a secure system is a person and not a robot based on receipt of vital signs of the user. As another example, a computing device may operate as a secure access badge that first analyzes vital signs of a user to confirm that the user is not in distress before sending an access signal to gain access to a secure system. In either example, the computing device may be a wearable device, or be paired to a wearable device to receive the vital signs.

Abstract: Systems and methods for converting an application to new programming language or framework is provided. A source application written in a legacy framework is analyzed and divided into smaller segments of code. The smaller segments are evaluated for quality in view of best practices design for writing applications. A rubric is determined for each segment and compared to a best practice threshold. Segments can be evaluated for features that can be passed through a model. The model converts the features into code in the new programming language. Machine learning and rules databases are updated with details of the conversion.

Abstract: Systems and methods for converting an application to new programming language or framework is provided. A source application written in a legacy framework is analyzed and divided into smaller segments of code. The smaller segments are evaluated for quality in view of best practices design for writing applications. A rubric is determined for each segment and compared to a best practice threshold. Segments can be evaluated for features that can be passed through a model. The model converts the features into code in the new programming language. Machine learning and rules databases are updated with details of the conversion.