The invention discloses an elevator sill detection method. The method comprises the following steps: S1, carrying out data collection, wherein an elevator door image is analyzed from a video image; S2, carrying out data preprocessing and establishment of a sill detection model, wherein the elevator door image is preprocessed, and a sill in the elevator door image is marked and is input into a neural network for training to obtain a trained sill detection model; S3, carrying out network model detection, wherein the sill detection model is input into a control center module, and when a camera obtains a new video image, the sill detection model is used for predicting the opening and closing state of an elevator door in real time; and S4, judging whether the state of the elevator door is normal or not according to the prediction result, and giving out an alarm when abnormity occurs. By establishing the sill detection model, predicting the coordinate information of the elevator sill in real time and calculating the elevator operation parameters, the state of the elevator door is monitored in real time, problems can be found in time, and the elevator safety is improved.

    本发明公开了一种电梯地坎检测方法,包括以下步骤:S1、采集数据:从视频图像中解析出电梯门图像;S2、数据预处理,建立地坎检测模型:对电梯门图像进行预处理,对电梯门图像中的地坎进行标注,输入神经网络训练,得到训练好的地坎检测模型;S3、网络模型检测,将地坎检测模型输入控制中心模块,在摄像头获取到新的视频图像时,利用地坎检测模型实时预测电梯门的开关状态;S4、根据预测结果,判断电梯门的状态是否正常,出现异常时报警。通过建立地坎检测模型,实时预测电梯地坎的坐标信息,计算电梯运行参数,实现了对电梯门状态的实时监测,能够及时发现问题,提高电梯安全。


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    Title :

    Elevator sill detection method


    Additional title:

    一种电梯地坎检测方法


    Contributors:
    DENG DAOJU (author) / ZHONG YALIN (author) / YANG LI (author) / ZHAO LEIJIE (author)

    Publication date :

    2021-07-16


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / B66B Aufzüge , ELEVATORS



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