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PRODUCT CORRELATION ANALYSIS USING DEEP LEARNING

机译:基于深度学习的产品相关性分析

摘要

Systems and techniques are provided for tracking inventory events in an area of real space. A plurality of sensors produce respective sequences of frames in corresponding fields of view in the real space. The field of view of each sensor overlaps with the field of view of at least one other sensor. The processing system uses the sequences of frames produced by sensors in the plurality of sensors to identify gestures by detected subjects in the area of real space and produce inventory events. The inventory events include a subject identifier identifying a detected subject, a gesture type of the identified gesture by the detected subject, an item identifier identifying an inventory item linked to the gesture by the detected subject, a location of the gesture represented by positions in three dimensions of the area of real space and a timestamp.
机译:提供了用于跟踪真实空间区域中的库存事件的系统和技术。多个传感器在真实空间中的相应视场中产生相应的帧序列。每个传感器的视野与至少一个其他传感器的视野重叠。该处理系统使用由多个传感器中的传感器产生的帧序列来通过检测到的真实空间区域中的对象识别手势并产生库存事件。库存事件包括识别所检测到的对象的对象标识符,所检测到的对象所识别的手势的手势类型,所检测到的对象所标识的链接到该手势的库存项目的项目标识符,由三个位置表示的手势的位置实际空间的面积和时间戳。

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