首页> 外国专利> BATTERY-POWERED CAMERA WITH REDUCED POWER CONSUMPTION BASED ON MACHINE LEARNING AND OBJECT DETECTION

BATTERY-POWERED CAMERA WITH REDUCED POWER CONSUMPTION BASED ON MACHINE LEARNING AND OBJECT DETECTION

机译:基于机器学习和对象检测的功耗降低的电池供电相机

摘要

Apparatus and associated methods relate to transmitting video frames selected by a camera based on detected motion to a network hub configured with an artificial intelligence adapted to predict a region of interest within the selected video frames, configuring the camera with the region of interest predicted by the hub, and managing the energy consumption of the camera based on automatically governing camera operational parameters adapted as a function of the region of interest. In an illustrative example, the camera may be a battery-powered camera. In some embodiments, the camera may be configured in a low power mode with wireless interfaces off. In various implementations, the camera may be configured to detect motion within a region of interest and ignore motion elsewhere. Various examples may advantageously provide improved camera power management based on governing the camera operational parameters as a function of detected motion and the configured region of interest.
机译:装置和相关方法涉及将由摄像机基于检测到的运动选择的视频帧传输到配置有人工智能的网络集线器,该人工智能适于预测所选视频帧内的感兴趣区域,将摄像机配置为由摄像机预测的感兴趣区域。集线器,并基于自动控制适应于感兴趣区域的功能的相机操作参数来管理相机的能耗。在说明性示例中,相机可以是电池供电的相机。在一些实施例中,可以在低功率模式下将相机配置为关闭无线接口。在各种实施方式中,相机可以被配置为检测感兴趣区域内的运动并且忽略其他地方的运动。各种示例可以基于根据检测到的运动和所配置的关注区域来控制相机操作参数,从而有利地提供改进的相机电源管理。

著录项

  • 公开/公告号US2019311201A1

    专利类型

  • 公开/公告日2019-10-10

    原文格式PDF

  • 申请/专利权人 DEEP SENTINEL CORP.;

    申请/专利号US201815948712

  • 申请日2018-04-09

  • 分类号G06K9;G08B13/196;H04N5/232;G06T1/20;H04N5/235;G06T7/11;G06T7/215;G08B25;

  • 国家 US

  • 入库时间 2022-08-21 12:07:00

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