The invention relates to the field of intelligent prompt, and particularly discloses an escalator voice prompt system and a method thereof, which are characterized in that hidden associated feature distribution information about articles carried by a user in an escalator monitoring image is mined by adopting a neural network model based on deep learning; in this way, whether a user carries illegal articles to go on the escalator or not is accurately detected in real time, and the use safety of the escalator is guaranteed.

    本申请涉及智能提示领域,其具体地公开了一种扶梯语音提示系统及其方法,其通过采用基于深度学习的神经网络模型挖掘出扶梯监控图像中关于用户携带物品的隐含关联特征分布信息,以此来对于用户是否携带违规用品上扶梯进行实时精准检测,以保证自动扶梯的使用安全性。


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    Title :

    Escalator voice prompt system and method thereof


    Additional title:

    扶梯语音提示系统及其方法


    Contributors:
    LIU SHIWEI (author)

    Publication date :

    2024-04-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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