FACE RECOGNITION BUSINESS MODEL AND METHOD FOR IDENTIFYING PERPETRATORS OF ATM FRAUD
    1.
    发明申请
    FACE RECOGNITION BUSINESS MODEL AND METHOD FOR IDENTIFYING PERPETRATORS OF ATM FRAUD 审中-公开
    面向识别业务模式和识别ATM欺诈的方法

    公开(公告)号:US20160125404A1

    公开(公告)日:2016-05-05

    申请号:US14529399

    申请日:2014-10-31

    Abstract: A system and method for identifying perpetrators of ATM fraud. A subscription fee is collected for defined services for collecting, processing, and analyzing facial data. Facial data is acquired from a person conducting a transaction with an automated transaction system having a camera device. The facial data is linked to a transaction identifier including at least time and location associated with the transaction. The facial data and the transaction identifier are stored in a centralized repository. Upon request from an authorized subscriber to identify the person based on the transaction identifier, because the transaction is deemed fraudulent, the facial data associated with the transaction identifier is compared to facial profiles obtained from private, public, and law enforcement databases. Potential identity matches are generated based on the facial profiles. The potential identity matches are output to the authorized subscriber for further prosecutorial and/or investigative actions.

    Abstract translation: 一种识别ATM欺诈行为人的制度和方法。 收集,处理和分析面部数据的定义服务收取订阅费用。 使用具有相机装置的自动交易系统从进行交易的人处获取面部数据。 面部数据被链接到事务标识符,其包括至少与事务相关联的时间和位置。 面部数据和事务标识符存储在集中式存储库中。 根据来自授权用户的请求,基于交易标识符来识别该人,因为该交易被认为是欺诈性的,将与交易标识符相关联的面部数据与从私人,公共和执法数据库获得的面部轮廓进行比较。 潜在身份匹配是根据面部特征生成的。 将潜在身份匹配输出到授权订户进行进一步的检察和/或调查行动。

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