The invention discloses an automatic escalator AI visual behavior early warning system, and relates to the technical field of early warning systems, the early warning system comprises an image recording module, a warning module, an edge calculation storage module, a people flow recording module, an emergency processing module and a display module, the image recording module is in communication connection with the edge calculation and storage module and the warning module, the image recording module is in communication connection with the edge calculation and storage module, the emergency processing module is in communication connection with the escalator, and the warning module comprises a cross-region module. The system has the advantages that the behaviors of elevator passengers are judged by analyzing real-time images collected by the camera probe, so that response can be made in time when an abnormal condition occurs, necessary voice reminding is performed according to an analysis result, the elevator riding safety of the passengers is improved, and meanwhile, when a falling accident occurs, the safety of the passengers is improved. The escalator can be linked to switch the slow stop mode, and safety accidents are reduced.

    本发明公开了自动扶梯AI可视化行为预警系统,本发明涉及预警系统技术领域,预警系统包括图像记录模块、警示模块、边缘计算存储模块、人流量记录模块、应急处理模块以及显示模块,图像记录模块分别与边缘计算存储模块和警示模块之间通信连接,图像记录模块与边缘计算存储模块通信连接,应急处理模块与自动扶梯通信连接,警示模块包括越区域模块,本发明的优点在于:通过将摄像探头采集到的实时影像进行分析来判断乘梯人员行为,从而能在异常情况发生时及时做出反应,并根据分析结果进行必要的语音提醒,从而提高乘客的乘梯安全性,同时在发生跌倒事故时,可以联动自动扶梯转换缓停模式,减少安全事故的发生。


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    Titel :

    Escalator AI visual behavior early warning system


    Weitere Titelangaben:

    自动扶梯AI可视化行为预警系统


    Beteiligte:
    CAO QINYU (Autor:in) / KANG HAICHENG (Autor:in)

    Erscheinungsdatum :

    25.06.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B66B Aufzüge , ELEVATORS



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