SYSTEM AND METHOD FOR OBJECT RECOGNITION
    2.
    发明申请
    SYSTEM AND METHOD FOR OBJECT RECOGNITION 有权
    用于对象识别的系统和方法

    公开(公告)号:US20170053393A1

    公开(公告)日:2017-02-23

    申请号:US14973676

    申请日:2015-12-17

    Abstract: A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.

    Abstract translation: 用于对象识别的系统包括图像/频谱感测装置,从真实对象获取对象图像并感测真实对象的感测区域处的光谱。 提取模块获取对象图像的每个ROI的实体图像特征图案。 用于对象图像特征的分析模块从数据库中搜索第一候选对象,并分析真实对象和候选对象之间的相关性。 用于对象光谱特征的获取模块获得对象图像的每个ROI的实际光谱图案。 用于对象频谱特征的分析模块是从数据库搜索第二候选对象,并进一步分析实体和第二候选对象之间的匹配级别。 融合模块进一步分析图像特征和频谱特征的信息,查找是否具有匹配对象作为识别对象。

    Lung sound monitoring device and lung sound monitoring method thereof

    公开(公告)号:US10987064B2

    公开(公告)日:2021-04-27

    申请号:US16120985

    申请日:2018-09-04

    Abstract: A lung sound monitoring device is provided. The lung sound monitoring device includes an acoustic sensor and a processor. The acoustic sensor is configured to capture the chest cavity sound of a subject at a first monitoring position on the subject and convert the chest cavity sound into a first chest cavity sound signal. The processor is configured to receive the first chest cavity sound signal and perform a filter process to obtain a first lung sound signal, and convert the first lung sound signal into a first lung sound spectrum using time-domain frequency-domain conversion. The processor acquires a first intensity index according to the first lung sound spectrum, and outputs a prompt signal according to the first intensity index to indicate whether the first monitoring position is a qualified monitoring position.

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