首页> 外国专利> Method and system for recognition of objects near a ship by using deep neural network

Method and system for recognition of objects near a ship by using deep neural network

机译:利用深度神经网络识别船舶附近物体的方法和系统

摘要

The present invention relates to a method and a system for recognizing an object around a ship by using a deep neural network and, more specifically, to a method and a system for recognizing an object around a ship by using a deep neural network, which prevents a collision accident with an object from occurring by recognizing an object around a ship, which can be danger to a traveling ship in a restricted environment such as an foggy environment and the like. According to the present invention, in order to prevent a collision accident with an object existing on the sea in an environment such as fog due to weather deterioration on the sea, movement of all objects within a predetermined radius is detected and recognized, and when an object is detected, a danger alarm is notified to a captain so that a collision accident can be greatly reduced. Also, since a surrounding environment is detected by installing only a CCTV camera, carelessness of people can be prevented while not consuming huge costs, and a very large collision prevention effect can be obtained through simplicity of system construction.
机译:本发明涉及通过使用深度神经网络识别船周围物体的方法和系统,更具体地,涉及通过使用深度神经网络识别船周围物体的方法和系统。通过识别船周围的物体而发生与物体的碰撞事故,这可能在有雾的环境等受限环境中对行驶中的船舶造成危险。根据本发明,为了防止由于海上的天气恶化而在诸如雾的环境中与存在于海上的物体发生碰撞事故,在预定半径内检测并识别所有物体的移动,以及检测到物体后,将危险警报通知给机长,从而可以大大减少碰撞事故。另外,由于仅通过安装CCTV摄像机来检测周围环境,因此可以在不花费大笔成本的情况下防止人们的粗心大意,并且通过系统构造的简单性可以得到非常大的防撞效果。

著录项

  • 公开/公告号KR102060567B1

    专利类型

  • 公开/公告日2019-12-30

    原文格式PDF

  • 申请/专利号KR20190055916

  • 发明设计人 IM TAE HO;LEE HYO CHAN;

    申请日2019-05-13

  • 分类号G06K9;B63B43/18;B63B49;G06K9/46;G06N3/08;G08B21/18;

  • 国家 KR

  • 入库时间 2022-08-21 11:08:12

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号