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- LANDSLIDE DETECTING MODULE OF FIELD ERECTION BASED ON DEEP LEARNING

机译:- 基于深度学习的现场勃起山体滑坡检测模块

摘要

When landslide images are collected in a non-contact manner using a camera and deep learning-based landslide image analysis is performed, the landslide detection module is modularized so that it is easy to install and dismantle on site and convenient to use. In case of slope collapse, it is possible to provide information quickly, and thus, it is possible to save time for on-site investigation and to respond quickly. Also, by using a camera and an infrared projector, landslide images can be collected quickly even in ultra-low light night rainfall situations. A deep learning-based field-installed landslide detection module is provided, which detects the occurrence of landslides and can reduce operating costs without requiring large-scale hardware resources by being installed to have a distributed structure.
机译:当使用相机和深度学习的滑坡图像分析以非接触方式收集Landslide图像时,旧滑坡检测模块是模块化的,以便在现场安装和拆卸,方便使用。 在斜坡坍塌的情况下,可以快速提供信息,因此,可以节省现场调查的时间并快速响应。 此外,通过使用相机和红外投影仪,即使在超低灯之夜降雨情况下也可以快速收集滑坡图像。 提供了一种深度学习的现场安装的滑坡检测模块,可检测滑坡的发生,并且可以通过安装以具有分布式结构而无需大规模硬件资源而降低运营成本。

著录项

  • 公开/公告号KR102305464B1

    专利类型

  • 公开/公告日2021-09-30

    原文格式PDF

  • 申请/专利权人 씨티씨 주식회사;

    申请/专利号KR20210061526

  • 发明设计人 이희현;전준창;

    申请日2021-05-12

  • 分类号G06Q50/10;G03B17/08;G06N3/08;G06Q50/26;G08B21/10;H04N5/225;H04N7/18;

  • 国家 KR

  • 入库时间 2022-08-24 21:24:15

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