首页> 外国专利> SYSTEM OF RECOGNIZING OBJECT AND WARNING BY MICROWAVE FREQUENCY ANALYSIS

SYSTEM OF RECOGNIZING OBJECT AND WARNING BY MICROWAVE FREQUENCY ANALYSIS

机译:微波频率分析的物体识别预警系统。

摘要

Disclosed is a system capable of recognizing and warning an object by analyzing a microwave frequency. The system includes: a microwave sensor module for sensing an object using a microwave; an object identification module for identifying whether a detected object is a pedestrian or a traveling vehicle when the object is detected in the microwave sensor module; and a warning module for warning the pedestrian when a traveling vehicle is present around the pedestrian or warning a driver of the traveling vehicle when the pedestrian is present around the traveling vehicle in case the pedestrian and the traveling vehicle are identified in the object identification module. According to the system for recognizing and warning an object by microwave frequency analysis, even in bad weather such as rain or fog, a microwave is used to accurately recognize the traveling vehicle or the pedestrian on the road, thereby warning a danger. Therefore, there is an effect that it is possible to prevent a traffic accident beforehand and to secure safety. Especially, since it is possible to recognize the vehicle or pedestrian by sensing the speed of the object by only the microwave, a dangerous situation can be predicted and a waning signal can be promptly and accurately generated.
机译:公开了一种能够通过分析微波频率来识别和警告物体的系统。该系统包括:微波传感器模块,用于使用微波感测物体;以及物体识别模块,当在微波传感器模块中检测到物体时,识别物体是行人还是行进的车辆;警报模块,用于在物体识别模块中识别出行人和行进车辆的情况下,当行人周围有行进车辆时向行人发出警告,或者在行人周围存在行人时向行进车辆的驾驶员发出警告。根据用于通过微波频率分析来识别和警告物体的系统,即使在雨天或雾等恶劣天气下,也使用微波来准确识别行驶中的车辆或道路上的行人,从而警告危险。因此,具有可以预先防止交通事故并确保安全的效果。尤其是,由于可以仅通过微波来感测物体的速度来识别车辆或行人,因此可以预测危险情况,并且可以迅速且准确地产生减弱信号。

著录项

  • 公开/公告号KR101928895B1

    专利类型

  • 公开/公告日2018-12-13

    原文格式PDF

  • 申请/专利权人 DAESHIN NETWORKS CO. LTD.;

    申请/专利号KR20180120688

  • 发明设计人 HER SHIN;

    申请日2018-10-10

  • 分类号B60W50/14;B60R21/0134;B60W30/08;B60W40/02;

  • 国家 KR

  • 入库时间 2022-08-21 11:52:01

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