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Learning Method for AI IoT Environment Sensor using AI Camera

机译:使用AI相机的AI IoT环境传感器学习方法

摘要

Provided is an artificial intelligence IoT environment sensor learning method for inference of an actual situation of an artificial intelligence IoT environment sensor 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 occult inference system according to an embodiment of the present invention includes a first artificial intelligence device that infers an occupancy situation using a first sensor; And a second artificial intelligence device that infers the occupancy status using the second sensor and learns using the reasoning result of the first artificial intelligence device. As a result, the artificial intelligence neural network for reasoning the presence of the artificial intelligence IoT environment sensor can be trained using the artificial intelligence camera, and thus can be freed from the difficulty of securing the learning data.
机译:提供了一种人工智能IoT环境传感器学习方法,用于使用人工智能相机来推断人工智能神经网络以从环境传感器数据推断占用状态而无需学习数据来推断人工智能IoT环境传感器的实际情况。根据本发明实施例的隐匿推理系统包括:第一人工智能设备,其使用第一传感器来推断占用情况;以及第二人工智能设备,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。结果,可以使用人工智能相机来训练用于推理人工智能IoT环境传感器的存在的人工智能神经网络,从而可以摆脱保护学习数据的困难。

著录项

  • 公开/公告号KR1020200063356A

    专利类型

  • 公开/公告日2020-06-05

    原文格式PDF

  • 申请/专利权人 전자부품연구원;

    申请/专利号KR1020180146012

  • 发明设计人 지영민;

    申请日2018-11-23

  • 分类号

  • 国家 KR

  • 入库时间 2022-08-21 10:58:32

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