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CCTV FIRE MORNITORING METHOD AND SYSTEM USING CCTV IMAGE RECOGNITION BASED ON DEEP LEARNING

机译:基于深度学习的央视图像识别的央视火灾监测方法及系统

摘要

The present invention relates to a fire monitoring method through deep learning based CCTV image recognition. In the present invention, the learning unit performs machine learning through sample images classified into object, flame, and smoke categories, and at least one of object recognition, flame recognition, and smoke recognition for each of a plurality of CCTVs installed in the building by the CCTV function assignment unit. Allocating a function of, an image receiving unit receiving an image from a plurality of CCTVs, and an image processing unit recognizing at least one of an object, a flame, and a smoke from the received image based on the learned model. do.
机译:本发明涉及一种通过基于深度学习的CCTV图像识别进行火灾监控的方法。在本发明中,学习单元通过分类为对象,火焰和烟雾类别的样本图像以及通过安装在建筑物中的多个CCTV中的每一个的对象识别,火焰识别和烟雾识别中的至少一个来执行机器学习。 CCTV功能分配单元。分配以下功能:图像接收单元从多个闭路电视接收图像;图像处理单元基于学习的模型从接收的图像中识别出物体,火焰和烟雾中的至少一个。做。

著录项

  • 公开/公告号KR102162735B1

    专利类型

  • 公开/公告日2020-10-07

    原文格式PDF

  • 申请/专利权人 (주)스핀어웹;

    申请/专利号KR20180162957

  • 发明设计人 이종현;

    申请日2018-12-17

  • 分类号G08B17/12;G06T7/33;G08B25;G08B27;

  • 国家 KR

  • 入库时间 2022-08-21 11:03:42

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