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    MOVEMENT OR TOPOLOGY PREDICTION FOR A CAMERA NETWORK
    3.
    发明申请
    MOVEMENT OR TOPOLOGY PREDICTION FOR A CAMERA NETWORK 审中-公开

    公开(公告)号：US20190215491A1

    公开(公告)日：2019-07-11

    申请号：US16235531

    申请日：2018-12-28

    申请人： BULL SAS

    发明人： Loris BOUZONNET ,  Cécile BOUKAMEL-DONNOU ,  Benoît PELLETIER

    IPC分类号： H04N7/18 ,  G06N3/08 ,  G06N20/00 ,  G06T7/20 ,  G06T7/70 ,  G06K9/00

    CPC分类号： H04N7/185 ,  G06K9/00523 ,  G06K9/00536 ,  G06K9/00771 ,  G06N3/08 ,  G06N20/00 ,  G06T7/20 ,  G06T7/70

    摘要： A surveillance system of at least one site including videosurveillance cameras, the surveillance system including at least one surveillance camera management module and an artificial neural network for predicting the location of a target in a zone supervised by a camera, connected to the surveillance camera management module, the predicting artificial neural network including a target information acquisition input including data for prediction including data for identifying the camera in which a target has been detected, for positioning the target in the output state. The predicting artificial neural network includes an output of at least one identification of a probable camera the target of which will be probably identified and the camera management module includes an output for transmitting the at least one identification of probable camera to a member including a screen.

    Systems and methods for identifying a medically monitored patient
    8.
    发明授权
    Systems and methods for identifying a medically monitored patient 有权

    公开(公告)号：US09974468B2

    公开(公告)日：2018-05-22

    申请号：US13841235

    申请日：2013-03-15

    申请人： Covidien LP

    发明人： Paul S. Addison ,  James N. Watson

    IPC分类号： G08B1/08 ,  A61B5/1171 ,  A61B5/117 ,  A61B5/00 ,  A61B5/1455 ,  G06K9/00

    CPC分类号： A61B5/1171 ,  A61B5/117 ,  A61B5/14551 ,  A61B5/726 ,  G06K9/00523 ,  G06K9/00885 ,  G06K2009/00939

    摘要： Systems and methods provided relate to patient sensors and/or patient monitors that recognize and/or identify a patient with physiological signals obtained from the sensor. A scalogram may be produced by applying a wavelet transform for the physiological signals obtained from the sensor. The scalogram may be a three dimensional model (having time, scale, and magnitude) from which certain physiological information may be obtained. For example, unique human physiological characteristics, also known as biometrics, may be determined from the scalograms. More specifically, monitoring the changes in the morphology of the photoplethysmographic (PPG) waveform transforms (e.g., scalogram) may determine patient-specific information that may be used to recognize and/or identify the patient, and that may be used to determine a proper or improper association between the patient and the wireless sensor and/or patient monitor.