Bank of America Corporation

Ring Container Technologies, LLC

International Paper Company

Brian Joseph Smith

James Alexander

Stephen Thomas Shannon

Todd Michael Goodyear

Carl D Ring

Doug Dygert

Dan Futral

Douglas Miles Dygert

John P Rice

Sidney R Roper

Jisoo Lee

Yair Frankel

Daniel M Futral

Dennis Wayne Koerner

James P Scopis

Francis George Farro, Ii

Eins K Joseph

Rosemary Hill

Jennifer A Cameron

Maria Cannizzo

Derrick A Parks

Colin Christopherson

Kevin Albert Cooper

Holly Trucco Hillary

Benjamin William Quaintance

Dan Gamber

Rusty Shaver

Theodore Guss

Pamela Jean Riggins

Penelope York

Gene Kuhar

Jeff Ullrich

Scott Thomas Bonomo

Joseph Justin Chuba

Anthony Pang Fang

Jacquelin Smith

Kimberly Anne Stittsworth

William J Naughton

Donald A Leith

An ATM system includes a back-end server, an ATM central processing unit (ATM CPU) that receives information relating to the ATM system and a mobile computer. The mobile computer provides a CPU (MC CPU) and a keypad. The mobile computer may also provide a touch screen configured to display an initial ATM display. The ATM system also includes an interface system for interfacing between the ATM CPU and MC CPU. The back-end server formats and transmits to the ATM an API call. The API call requests a location of the user, ATM device information, and identification information of the user. The mobile computer is configured to respond to the API call by providing the location, the ATM device information, and the identification information of the user to the back-end server.

Automated teller machine (ATM) including an application programming interface (API)-equipped, embedded mobile computer

Aspects of the disclosure relate to monitoring devices at enterprise locations using machine-learning models to protect enterprise-managed information and resources. In some embodiments, a computing platform may receive, from one or more data source computer systems, passive monitoring data. Based on applying a machine-learning classification model to the passive monitoring data received from the one or more data source computer systems, the computing platform may determine to trigger a data capture process at an enterprise center. In response to determining to trigger the data capture process, the computing platform may initiate an active monitoring process to capture event data at the enterprise center. Thereafter, the computing platform may generate one or more alert messages based on the event data captured at the enterprise center. Then, the computing platform may send the one or more alert messages to one or more enterprise computer systems.

Monitoring devices at enterprise locations using machine-learning models to protect enterprise-managed information and resources

An ATM system is provided. The system may include a back-end server, an ATM CPU that receives information relating to the ATM, an ATM dispenser configured to dispense a cash withdrawal amount in the event that the ATM CPU receives information relating to a selection of a cash withdrawal amount and a mobile computer. The mobile computer may include a CPU, a keypad, a touch screen having a diagonal dimension of between 9 inches and 17 inches, and an interface system that interfaces between the ATM CPU and MC CPU, wherein the back-end server is configured to format and transmit an API call to request information regarding an ATM session. The ATM may be configured to respond to the API call and the back-end server is configured to respond to an API call response. The back-end server response may be further configured for display on the touch screen.

Automated teller machine (ATM) onlooker detection

Embodiments of the invention are directed to a system, method, or computer program product for a wearable device coded for user operational compliance. In this way, the invention comprises system integration of a wearable device for user performance and compliance of operational requirements within user obligations. The wearable device logs time of user initiation of obligations for timekeeping and is programmed for gatekeeping for physical and digital access to user authorized locations and data points. The wearable device codes for generating requests for access to non-authorized locations and data points for temporary needs of the user for obligation fulfillment.

Wearable device for operational compliance

Aspects of the disclosure relate to detecting and identifying devices at enterprise locations to protect enterprise-managed information and resources. In some embodiments, a computing platform may capture information identifying devices present at a first enterprise location during a malicious event. Then, the computing platform may generate alerts when one of the devices present at the first enterprise location during the malicious event is detected at a second enterprise location. In other embodiments, when such a device is detected at the second enterprise location, an enterprise center monitoring system may generate commands that cause an augmented reality device at the second enterprise location to present one or more augmented-reality user interfaces that include one or more augmented-reality elements identifying a user in possession of the detected device.

Detecting and identifying devices at enterprise locations to protect enterprise-managed information and resources

Arrangements for dynamic customized experience generate and control are provided. In some examples, a signal emitted from a computing device may be detected. A location of the computing device may be determined or received. A user associated with the computing device may be identified and user data may be requested from one or more computing systems. The received location data and user data may be analyzed using machine learning to generate a user prediction. The user prediction may include a particular function, preferred method or requirements for authentication to another computing device, such as a self-service kiosk, a preferred layout or arrangement for data provided, and the like. Based on the generated user prediction, a customized user experience output may be generated and transmitted to a computing device (e.g., self-service kiosk, user computing device, or the like) for display to the user.

Multicomputer signal processing to dynamically generate customized output and control functions

Aspects of the disclosure relate to utilizing a high generation cellular network for identifying devices associated with unauthorized activities and notifying enterprise facilities. A computing platform may collect device information for a plurality of user devices at a first location. Then, the computing platform may receive, from a first device at the first location, a message related to a first activity in a vicinity of the first location. Then, the computing platform may identify a sub-plurality of the plurality of user devices, wherein the sub-plurality of user devices are located at the first location at a time of occurrence of the first activity. Then, the computing platform may generate an alert notification comprising information related to the first activity and device information for the sub-plurality of user devices. Subsequently, the computing platform may send the alert notification to a collection of devices at a plurality of locations.

Utilizing a high generation cellular network for identifying devices associated with unauthorized activities and notifying enterprise facilities

Apparatus and methods are provided for enabling a restricted multiple-application user experience via single-application (SA) modes. A plurality of SA applications on a computer device may be configured with SA modes. The SA mode of a running SA application may prevent all other applications from running. Multiple SA applications may be linked, enabling a user to navigate between the linked applications while being restricted by each SA application's SA mode. A link may involve a transfer event that deactivates the SA mode of a first SA application and exits the first SA application. A second SA application is then called, whereupon the SA mode of the second SA application is activated. One SA application may be configured as a dashboard application. The dashboard application may include a password dependent escape event. The escape event may deactivate the SA mode of the dashboard application and exit the restricted multiple-application experience.

Restricted multiple-application user experience via single-application mode

A method includes injection molding a preform using a two phase injection system having a first phase in which a material is injected into the preform and a second phase in which the material is injected into the preform. The preform is disposed in a mold. The preform is blow molded into an intermediate article. The intermediate article is trimmed to form a finished container. The first phase includes injecting a material into the preform to form a single layer of the preform and the second phase includes injecting the material to form inner and outer layers and an intermediate layer between the inner and outer layers. The inner and outer layers include the material and the intermediate layer includes at least one additive. Finished containers are disclosed.

Container and method of manufacture

Growing community of inventors

St. Augustine, FL, United States of America

Brian Joseph Smith