Multicomputer System Providing Voice Enabled Event Processing

    公开(公告)号:US20220406303A1

    公开(公告)日:2022-12-22

    申请号:US17350394

    申请日:2021-06-17

    Abstract: Arrangements for voice enabled event processing are provided. In some aspects, a self-service kiosk may detect a mobile device of a user and a connection may be established between the self-service kiosk and the mobile device. The user may request, via natural language data input, processing of an event, such as a transaction. The natural language data input may be captured by the mobile device of the user and transmitted to the self-service kiosk or other processing device. The natural language input may be processed to identify the requested event. Based on the processed natural language data, an event processing request may be generated. Based on processing the event, one or more event processing commands may be generated. The event processing commands may be executed to perform one or more functions associated with completion of the event processing (e.g., distributing funds, activating a deposit receptacle, or the like).

    Multi-computer system for optimized queue management based on facial recognition

    公开(公告)号:US12190368B2

    公开(公告)日:2025-01-07

    申请号:US17702991

    申请日:2022-03-24

    Abstract: Arrangements for smart tracking and queue management are provided. In some aspects, in response to detecting a user at an entity location, image data may be captured of the user. The image data may be analyzed using one or more facial recognition techniques to determine whether the user is a recognized user. In some examples, a user or user device may be connected to an entity computing device associated with a shopping cart or other device for capturing items for purchase. The user may gather items for purchase and purchase item data may be transmitted for analysis. In some examples, a request to checkout may be received and, in response, real-time queue data may be requested. The real-time queue data may be analyzed using a machine learning model to determine an optimal queue for the user. A notification identifying the queue may be transmitted to the entity computing device.

    SYSTEM FOR DYNAMIC DATA ENCRYPTION IN AN ACTIVE NETWORK SESSION

    公开(公告)号:US20230419329A1

    公开(公告)日:2023-12-28

    申请号:US17848459

    申请日:2022-06-24

    CPC classification number: G06Q20/40975 G06Q20/382 H04L63/0428 H04L63/1458

    Abstract: Systems, computer program products, and methods are described herein for dynamic data encryption in an active network session. The present invention is configured to initiate an active network session with a user input device; electronically receive, from the user input device, a resource transfer request from a user, wherein the resource transfer request comprises at least one or more resource transfer parameters; trigger a dynamic data encryption (DDE) engine in response to receiving the resource transfer request; generate, using the DDE engine, a digital identifier for the resource transfer request using the one or more resource transfer parameters; execute the resource transfer request using the digital identifier; transmit control signals configured to cause the user input device to display a notification indicating that the resource transfer request has been executed; and terminate the active network session.

    Multi-Computer System for Optimized Queue Management Based on Facial Recognition

    公开(公告)号:US20230306496A1

    公开(公告)日:2023-09-28

    申请号:US17702991

    申请日:2022-03-24

    CPC classification number: G06Q30/0633 G06V40/172

    Abstract: Arrangements for smart tracking and queue management are provided. In some aspects, in response to detecting a user at an entity location, image data may be captured of the user. The image data may be analyzed using one or more facial recognition techniques to determine whether the user is a recognized user. In some examples, a user or user device may be connected to an entity computing device associated with a shopping cart or other device for capturing items for purchase. The user may gather items for purchase and purchase item data may be transmitted for analysis. In some examples, a request to checkout may be received and, in response, real-time queue data may be requested. The real-time queue data may be analyzed using a machine learning model to determine an optimal queue for the user. A notification identifying the queue may be transmitted to the entity computing device.

    Dynamic Contactless Payment Processing Based on Real-Time Contextual Information

    公开(公告)号:US20230214841A1

    公开(公告)日:2023-07-06

    申请号:US17567232

    申请日:2022-01-03

    CPC classification number: G06Q20/4015

    Abstract: Arrangements for payment and recommendation control are provided. In some aspects, contextual data may be received from a user. For instance, data such as calendar data may be received and an event may be identified. Based on the event, a pre-authorized amount may be identified for payment associated with the event. The system may receive a request for payment and event details. The amount may be compared to the pre-authorized amount and, if more than the pre-authorized amount, a request for payment authorization may be transmitted to a user device. If the amount is not more than the pre-authorized amount, expected location data of the user may be received and current location data of the user may be requested from a user device. The location data may be compared and, if the locations match, the payment may be authorized and automatically processed.

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