METHOD AND SYSTEM FOR GENERATING IMAGE KNOWLEDGE CONTENTS BASED ON CROWDSOURCING
    2.
    发明申请
    METHOD AND SYSTEM FOR GENERATING IMAGE KNOWLEDGE CONTENTS BASED ON CROWDSOURCING 审中-公开
    用于生成基于图像的图像知识内容的方法和系统

    公开(公告)号:US20140211044A1

    公开(公告)日:2014-07-31

    申请号:US14152977

    申请日:2014-01-10

    CPC classification number: H04N5/23229 G06Q30/02

    Abstract: A system for generating crowdsourcing-based image knowledge content, includes an image provision unit configured to provide image data; and an image crowdsourcing unit configured to generate, store, or manage image knowledge in order to provide an image-base knowledge service. Further, the system includes an image acquisition and processing unit configured to connect the image provision unit and the image crowdsourcing unit and actively or automatically provide a crowdsourcing technique.

    Abstract translation: 一种用于产生基于众包的图像知识内容的系统,包括:图像提供单元,被配置为提供图像数据; 以及被配置为生成,存储或管理图像知识以便提供图像基础知识服务的图像众包单元。 此外,该系统包括图像获取和处理单元,其被配置为连接图像提供单元和图像众包单元,并且主动或自动地提供众包技术。

    ELECTRONIC DEVICE FOR PERFORMING OCCUPANCY-BASED HOME ENERGY MANAGEMENT AND OPERATING METHOD THEREOF

    公开(公告)号:US20250147472A1

    公开(公告)日:2025-05-08

    申请号:US18934621

    申请日:2024-11-01

    Abstract: This invention relates to an electronic device and method for performing real-time occupancy-based home energy management. By using advanced neural network models to detect user occupancy patterns, the system optimizes appliance operation schedules to reduce energy costs, enhance system efficiency, and prolong device lifespan. The electronic device includes at least one processor and at least one memory configured to store instructions executable by the at least one processor, wherein, when at least a portion of the instructions stored in the at least one memory is executed by the at least one processor, the at least a portion of the instructions to be executed controls the electronic device to perform operations of collecting sensing data related to usage patterns of home appliances placed in an indoor area, obtaining output data by inputting the collected sensing data as input data to a neural network model for determining whether a user occupies the indoor area, and training an occupancy detection model using a reconstruction error determined through the input data and the output data.

Patent Agency Ranking