首页> 外国专利> METHOD FOR LEARNING REASONING OF PRESENCE OF ARTIFICIAL INTELLIGENCE IOT ENVIRONMENT SENSOR USING ARTIFICIAL INTELLIGENCE CAMERA

METHOD FOR LEARNING REASONING OF PRESENCE OF ARTIFICIAL INTELLIGENCE IOT ENVIRONMENT SENSOR USING ARTIFICIAL INTELLIGENCE CAMERA

机译:人工智能相机学习人工智能物联网环境传感器的方法

摘要

Provided is an artificial intelligence IoT environment sensor learning method for inference of an occupancy situation using an artificial intelligence camera for learning an artificial intelligence neural network for inferring an occupancy status from environmental sensor data without learning data. An occupancy inference system, according to an embodiment of the present invention, includes: a first artificial intelligence device which infers a presence situation using a first sensor; and a second artificial intelligence device that infers the occupancy status using a second sensor and learns using the reasoning result of the first artificial intelligence device. By using an artificial intelligence camera, an artificial intelligence neural network for inference of an occupancy situation of the artificial intelligence IoT environment sensor can be trained, and the difficulty of securing the learning data can be resolved.;COPYRIGHT KIPO 2020
机译:提供了一种人工智能物联网环境传感器学习方法,该方法用于使用人工智能照相机来学习人工智能神经网络以推断占用情况,该人工智能神经网络用于从环境传感器数据推断占用状态而不学习数据。根据本发明的实施例的占用推断系统包括:第一人工智能设备,其使用第一传感器来推断在场情况。第二人工智能设备,其使用第二传感器来推断占用状态并且使用第一人工智能设备的推理结果来学习。通过使用人工智能摄像头,可以训练一个人工智能神经网络来推断人工智能IoT环境传感器的占用情况,并且可以解决保护学习数据的困难。; COPYRIGHT KIPO 2020

著录项

  • 公开/公告号KR20200063356A

    专利类型

  • 公开/公告日2020-06-05

    原文格式PDF

  • 申请/专利权人 KOREA ELECTRONICS TECHNOLOGY INSTITUTE;

    申请/专利号KR20180146012

  • 发明设计人 JI YOUNG MIN;

    申请日2018-11-23

  • 分类号G06N3/08;G06N3/04;G06N5/04;

  • 国家 KR

  • 入库时间 2022-08-21 11:06:53

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