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System And Method For Deep Learning Enhanced Object Incident Detection

机译:深度学习的系统和方法增强了对象事件检测

摘要

A system and method detects falling incidents on structures such as cruise vessels, oil rigs, overpasses, and buildings, and also detects overboarding movements onto structures such as cargo ships. The system includes at least two opposed imaging devices which record video streams of a detection cuboid within an overlapping region of view volumes for the imaging devices. The imaging devices monitor objects that pass through the cuboid. Identified objects within the video streams are paired, their conformance is determined, and real-world information such as size, trajectory, and location is determined.
机译:系统和方法检测巡航船,石油钻机,立交桥和建筑物等结构的下降事件,并且还检测到诸如货船等结构上的过度移动。 该系统包括至少两个相对的成像设备,其在用于成像装置的视图卷的重叠区域内记录检测长方体的视频流。 成像设备监视通过长方体的对象。 视频流内的识别对象是配对的,确定它们的一致性,并且确定了诸如大小,轨迹和位置的实际信息。

著录项

  • 公开/公告号US2021397851A1

    专利类型

  • 公开/公告日2021-12-23

    原文格式PDF

  • 申请/专利权人 PURETECH SYSTEMS INC.;

    申请/专利号US202117464527

  • 申请日2021-09-01

  • 分类号G06K9;H04N7/18;H04N5/33;H04N5/77;H04N5/91;G06K9/20;G06T7/246;G06T7/292;G06T7;H04N5/247;

  • 国家 US

  • 入库时间 2022-08-24 22:59:21

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