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DIGITAL SOCIAL PROTECTION SCREEN SYSTEM USING DEEP LEARNING AND ACTIVE SEMI-SUPERVISED LEARNING

机译:深度学习和主动半监督学习的数字社会保护屏幕系统

摘要

The present invention relates to a digital social protection screen system using deep learning and active semi-supervised learning. In addition, according to the present invention, provided is the digital social protection screen system using deep learning and active semi-supervised learning. The system comprises: a distributed composite sensor module for detecting an environment requiring early warning for various types of crime situations; an alarm sound detection module for detecting alarm sounds of various kinds of alarm sound generators outputted by sensing an emergency situation; a learning module for receiving a detection result from the distributed composite sensor module and the alarm sound detection module by using active semi-supervised learning and deep learning, and adaptively learning the same to provide a learning resu a distributed hub terminal for receiving and analyzing an environment detection result and an alarm sound detection result from the distributed composite sensor module and the alarm sound detection module to detect abnormal situations; and a distributed activator for forming an adjacent protection screen and a local protection screen according to an abnormal situation detected by the distributed hub terminal.;COPYRIGHT KIPO 2018
机译:本发明涉及一种使用深度学习和主动半监督学习的数字社会保护屏幕系统。另外,根据本发明,提供了一种使用深度学习和主动半监督学习的数字社会保护屏幕系统。该系统包括:分布式复合传感器模块,用于检测需要针对各种类型犯罪情况进行预警的环境;以及告警声音检测模块,用于检测紧急情况输出的各种告警声音发生器的告警声音;学习模块,用于通过主动半监督学习和深度学习,从分布式复合传感器模块和告警声音检测模块接收检测结果,并自适应学习以提供学习结果;分布式集线器终端,用于接收和分析来自分布式复合传感器模块和警报声音检测模块的环境检测结果和警报声音检测结果,以检测异常情况; COPYRIGHT KIPO 2018;分布式激活器,用于根据分布式集线器终端检测到的异常情况形成相邻的保护屏和本地保护屏。

著录项

  • 公开/公告号KR20180066688A

    专利类型

  • 公开/公告日2018-06-19

    原文格式PDF

  • 申请/专利号KR20160167813

  • 发明设计人 RHEE PHILL KYUKR;

    申请日2016-12-09

  • 分类号G06Q50/26;G06N99/00;G06Q50/22;G08B17/00;G08B21/12;G08B3/10;

  • 国家 KR

  • 入库时间 2022-08-21 12:39:47

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