Universal Self-Service Kiosk Fraud Detection Platform

    公开(公告)号:US20250045759A1

    公开(公告)日:2025-02-06

    申请号:US18229776

    申请日:2023-08-03

    Abstract: Arrangements for universal self-service kiosk fraud detection are provided. A request for a transaction may be received via a self-service kiosk. The financial institution associated with the transaction may be identified as part of a consortium of financial institutions. Accordingly, a machine learning model particular to the consortium may be used to analyze the transaction. The model may output a determination of whether fraud or potential fraud exists in the transaction. In some examples, the machine learning model may be trained using historical transaction data from one or more financial institutions that are part of the consortium. If fraud is detected, one or more security actions associated with the transaction may be identified and executed. Further, one or more additional self-service kiosks that may be impacted by the fraud may be identified and security actions may be identified and transmitted to the one or more additional self-service kiosks for execution.

    UNIVERSAL SELF-SERVICE KIOSK PLATFORM
    4.
    发明公开

    公开(公告)号:US20240354729A1

    公开(公告)日:2024-10-24

    申请号:US18135834

    申请日:2023-04-18

    CPC classification number: G06Q20/18 G06Q20/108

    Abstract: Arrangements for a universal self-service kiosk platform are provided. In some aspects, registration data may be received from a plurality of enterprise organizations and may include self-service kiosk configuration data for each enterprise organization. A request to associate a self-service kiosk with a first enterprise organization may be received and may include identification of the first enterprise organization and the self-service kiosk. In response, a self-service kiosk configuration associated with the first enterprise organization may be retrieved and an instruction causing the self-service kiosk to implement the self-service kiosk configuration associated with the first enterprise organization may be generated. The instruction may be transmitted to the self-service kiosk. Transmitting the instruction to the self-service kiosk may cause the self-service kiosk to modify a current configuration including, for instance, modifying a display, modifying functionality provided, and the like, based on the self-service kiosk configuration associated with the first enterprise organization.

    Counterfeit Note Detection Via Machine Olfaction Chemical Analysis

    公开(公告)号:US20250118129A1

    公开(公告)日:2025-04-10

    申请号:US18378462

    申请日:2023-10-10

    Abstract: A method and system for detecting counterfeit money may include an automated teller machine (ATM) including an olfactory sensor configured to detect counterfeit notes and valid notes, an olfactory signature database comprising counterfeit note olfactory signatures and valid note olfactory signatures, wherein the ATM may be in communication with the olfactory signature database, and wherein the olfactory sensor via the ATM detects and transmits olfactory note signatures to the olfactory signature database, and wherein the ATM is configured to reject a detected counterfeit note for deposit.

    Self-Service Kiosk Inventory Control
    6.
    发明公开

    公开(公告)号:US20240311788A1

    公开(公告)日:2024-09-19

    申请号:US18120480

    申请日:2023-03-13

    CPC classification number: G06Q20/203 G06Q20/18

    Abstract: Arrangements for self-service kiosk inventory control are provided. In some aspects, note data may be received by a computing platform from a self-service kiosk and may include note identifiers. The computing platform may monitor the self-service kiosk for a triggering event. Responsive to detecting the triggering event, the computing platform may generate and send an instruction to the self-service kiosk causing the self-service kiosk to initiate a rescan function. The the rescan function may cause the self-service kiosk to recapture a note identifier associated with each note of currency currently within the self-service kiosk. The results of the rescan may be compared to the received note data to determine whether all expected notes are within the self-service kiosk. If not, a service instruction may be generated and sent, an instruction causing the self-service kiosk to modify functionality may be generated and sent, or the like.

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