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SYSTEM FOR DETECTING ABNORMAL BEHAVIOR BASED ON ARTIFICIAL INTELLIGENCE

机译:基于人工智能的异常行为检测系统

摘要

The present invention relates to an artificial intelligence-based abnormal behavior detection system, wherein the present invention receives a plurality of images captured by an image photographing apparatus and an image photographing apparatus for photographing a plurality of images for abnormal behavior, and the existing abnormal behavior By generating an abnormal behavior determination algorithm generated based on the result of learning the behavior related to After determining that the first situation of the abnormal behavior has occurred, it is determined that the first notification data is generated and output, and when it is determined that the second situation of the abnormal behavior has occurred, a monitoring device that generates and outputs the second notification data may include Accordingly, the present invention uses an abnormal behavior determination algorithm based on deep learning to classify the first situation, which is the situation in which the abnormal behavior occurs, and the second situation, which is the situation in which the abnormal behavior occurs, step by step determination and control by notifying A manager or a supervisor can take an appropriate response according to the situation of the occurrence of abnormal behavior, and can respond quickly.
机译:本发明涉及一种基于人工智能的异常行为检测系统,其中本发明接收由图像拍摄设备捕获的多个图像和用于拍摄多个异常行为图像的图像拍摄设备,以及通过生成基于学习相关行为的结果生成的异常行为确定算法来确定现有异常行为。在确定异常行为的第一种情况已经发生后,确定生成并输出第一通知数据,当确定发生了异常行为的第二种情况时,生成和输出第二通知数据的监控设备可以相应地包括,本发明使用基于深度学习的异常行为确定算法来分类第一种情况,即发生异常行为的情况,第二种情况,即异常行为发生的情况,通过通知经理或主管逐步确定和控制,可以根据异常行为发生的情况采取适当的响应,并能够快速响应。

著录项

  • 公开/公告号KR20220057213A

    专利类型

  • 公开/公告日2022-05-09

    原文格式PDF

  • 申请/专利权人 주식회사 아디아랩;

    申请/专利号KR20200142251

  • 发明设计人 김성수;이수봉;오상헌;

    申请日2020-10-29

  • 分类号G08B13/196;G06N20;G08B21/02;G08B7/06;

  • 国家 KR

  • 入库时间 2024-06-14 23:03:20

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