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Recognition and exploration of fires and people using machine learning based thermal imaging camera

机译:使用基于机器学习的红外热像仪识别和探索火灾和人员

摘要

The present invention relates to a method for recognizing and searching for a fire point and a person who needs to be rescued utilizing a machine learning-based thermal imaging camera. More specifically, the method for recognizing and searching for a fire point and a person who needs to be rescued utilizing a machine learning-based thermal imaging camera photographs a space or a body with a thermal imaging camera using a machine learning technique, analyzes the temperature which changes in space or body in accordance with time to recognize and search a fire point or a person who needs to be rescued in advance after photographed images and information are stored in a database to be initialized, prevents accidents which may occur, and can easily recognize a situation in the event of an accident.
机译:本发明涉及一种用于识别和搜索着火点的方法以及需要使用基于机器学习的热像仪来救援的人的方法。更具体地,利用基于机器学习的热像仪来识别和搜索着火点以及需要解救的人的方法使用机器学习技术利用热像仪来拍摄空间或身体,并分析温度。在将图像和信息存储在要初始化的数据库中后,根据时间或空间变化识别并搜索火点或需要抢救的人的空间或物体,可以防止可能发生的事故在发生事故时识别情况。

著录项

  • 公开/公告号KR20190021974A

    专利类型

  • 公开/公告日2019-03-06

    原文格式PDF

  • 申请/专利权人 INFOWORKS;

    申请/专利号KR20170107521

  • 发明设计人 PARK HYUN JU;

    申请日2017-08-24

  • 分类号G08B17/12;G01J5/48;G06N99;

  • 国家 KR

  • 入库时间 2022-08-21 11:51:32

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