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Method for monitoring authentication based on video call using neural network and system for the method

机译:基于视频呼叫使用神经网络和系统进行视频呼叫监控认证的方法

摘要

The present invention is a video call-based authentication monitoring method using a neural network, comprising the steps of: receiving a user's face image or ID image; receiving counseling data of a counselor for non-face-to-face authentication during the video call; calculating a prediction result for each identification element included in the received facial image or ID image through a neural network; comparing the calculated prediction result with the counselor's counseling data; and requesting the examination of the consultation data according to the comparison result. According to the present invention, the authentication rate of non-face-to-face authentication using non-face-to-face video call and the quality of counseling service can be improved by monitoring the counseling contents in real time while the counselor's counseling service is in progress.
机译:本发明是一种使用神经网络的基于视频呼叫的认证监视方法,包括以下步骤:接收用户的面部图像或ID图像; 在视频通话期间接收辅导员的咨询数据,用于非面对面认证; 通过神经网络计算所接收的面部图像或ID图像中包括的每个识别元件的预测结果; 将计算的预测结果与辅导员的咨询数据进行比较; 并根据比较结果要求审查咨询数据。 根据本发明,通过非面对面视频呼叫的非面对面认证的认证率可以通过在辅导员的咨询服务中实时监测咨询内容来改善咨询内容 正在处理。

著录项

  • 公开/公告号KR20220018230A

    专利类型

  • 公开/公告日2022-02-15

    原文格式PDF

  • 申请/专利权人 주식회사 카카오뱅크;

    申请/专利号KR1020200098479

  • 发明设计人 정기수;

    申请日2020-08-06

  • 分类号G06Q30/02;G06F21/31;G06K9;G06N3/08;G06V10/10;H04N7/14;

  • 国家 KR

  • 入库时间 2022-08-24 23:38:56

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