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Method, device and system for adaptive training of machine learning models via detected in-field contextual sensor events and associated located and retrieved

机译:通过检测到的现场上下文传感器事件以及相关的定位和检索来自适应训练机器学习模型的方法,设备和系统

摘要

Receive first context information including sensor information values from in-field sensors and a time associated with a capture of the first context information. Access a context to detectable event mapping that maps sets of sensor information values to events and identify a particular event associated with the received first context information. Determine a geographic location associated with the in-field sensors and access an imaging camera location database and identify particular imaging cameras that have a field of view including the determined geographic location during the time associated with the capture of the first context information. Retrieve audio and/or video streams captured by the particular imaging cameras, identify machine learning training modules corresponding to machine learning models for detecting the particular event in audio and/or video streams, and provide the audio and/or video streams to the machine learning training modules for further training of the corresponding machine learning models.
机译:接收包括来自现场传感器的传感器信息值的第一上下文信息以及与捕获第一上下文信息相关联的时间。访问上下文到可检测的事件映射,该映射将传感器信息值的集合映射到事件,并标识与接收的第一上下文信息关联的特定事件。确定与野外传感器相关联的地理位置,并访问成像摄像机位置数据库,并标识具有与第一上下文信息的捕获相关联的时间内包括确定的地理位置的视野的特定成像摄像机。检索特定摄像头捕获的音频和/或视频流,识别与机器学习模型相对应的机器学习训练模块,以检测音频和/或视频流中的特定事件,并将音频和/或视频流提供给机器学习培训模块,用于进一步培训相应的机器学习模型。

著录项

  • 公开/公告号GB2583253A

    专利类型

  • 公开/公告日2020-10-21

    原文格式PDF

  • 申请/专利权人 MOTOROLA SOLUTIONS INC.;

    申请/专利号GB20200009257

  • 发明设计人 DANIEL A LAW;JEHAN WICKRAMASURIYA;

    申请日2018-11-14

  • 分类号G08B21;G08B25;H04N21;

  • 国家 GB

  • 入库时间 2022-08-21 10:59:45

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