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    System and method of motion detection and secondary measurements
    21.
    发明授权
    System and method of motion detection and secondary measurements 有权
    运动检测和二次测量的系统和方法

    公开(公告)号：US09536406B2

    公开(公告)日：2017-01-03

    申请号：US14293517

    申请日：2014-06-02

    Applicant: Honeywell International Inc.

    Inventor： Daniel J. Sheflin ,  Kenneth L. Addy ,  Aravind Padmanabhan

    IPC: G08B1/08 ,  G08B19/00 ,  G08B13/24 ,  G08B25/10

    CPC classification number: G08B19/00 ,  G08B1/08 ,  G08B13/2494 ,  G08B25/10

    Abstract: A regional monitoring system in communication with a plurality of locally displaced detectors can implement a fusion of inputs from a variety of additional non-system devices. The monitoring system includes a wireless receiver or transceiver enabling the system to detect local traffic from the non-system devices, such as sensors. Information received from such non-system devices can be combined with information from system detectors to initiate activity on other networks, to energize actuators, or to activate system detectors that normally reside in a low energy inactive state.

    Abstract translation: 与多个本地位移检测器通信的区域监视系统可以实现来自各种附加非系统设备的输入的融合。 监控系统包括无线接收器或收发器，使得系统能够检测来自诸如传感器之类的非系统设备的本地流量。 从这样的非系统设备接收到的信息可以与来自系统检测器的信息相结合，以启动其他网络上的活动，激励致动器，或激活通常处于低能量无效状态的系统检测器。

    System and Method Of Motion Detection And Secondary Measurements
    22.
    发明申请
    System and Method Of Motion Detection And Secondary Measurements 有权
    运动检测和二次测量的系统和方法

    公开(公告)号：US20150348387A1

    公开(公告)日：2015-12-03

    申请号：US14293517

    申请日：2014-06-02

    Applicant: Honeywell International Inc.

    Inventor： Daniel J. Sheflin ,  Kenneth L. Addy ,  Aravind Padmanabhan

    IPC: G08B19/00 ,  G08B1/08 ,  G08B25/10

    CPC classification number: G08B19/00 ,  G08B1/08 ,  G08B13/2494 ,  G08B25/10

    Abstract: A regional monitoring system in communication with a plurality of locally displaced detectors can implement a fusion of inputs from a variety of additional, non-system devices. The monitoring system includes a wireless receiver, or transceiver, enabling it to detect local traffic from the non-system devices, such as sensors. Information received from such non-system devices can be combined with information from system detectors to initiate activity on other networks, to energize actuators, or to activate system detectors that normally reside in a low energy, inactive, state.

    Abstract translation: 与多个本地位移检测器通信的区域监视系统可以实现来自各种附加非系统设备的输入的融合。 监控系统包括无线接收器或收发器，使得其能够检测来自非系统设备（例如传感器）的本地通信量。 从这样的非系统设备接收的信息可以与来自系统检测器的信息组合，以启动其他网络上的活动，激励致动器，或者激活通常处于低能量，不活动状态的系统检测器。

    FACIAL ENROLLMENT AND RECOGNITION SYSTEM
    23.
    发明申请
    FACIAL ENROLLMENT AND RECOGNITION SYSTEM 有权

    公开(公告)号：US20210334521A1

    公开(公告)日：2021-10-28

    申请号：US17371343

    申请日：2021-07-09

    Applicant: Honeywell International Inc.

    Inventor： Aravind Padmanabhan ,  Tomas Brodsky ,  Yunting Lin

    IPC: G06K9/00 ,  G06F16/583

    Abstract: A facial recognition system includes a memory for storing a facial image database, wherein the facial image database includes a plurality of entries each corresponding to a different person, and wherein each entry includes a person identifier along with one or more facial images of the person. The facial recognition system further includes a facial recognition module that is operatively coupled to the memory. The facial recognition module is configured to receive a new facial image, and to select one or more facial recognition engines based on one or more facial image parameters of the new facial image, and to use the selected facial recognition engines to compare the new facial image with facial models that are based upon facial images stored in the facial image database in order to identify the person in the new facial image.

    METHODS AND SYSTEMS FOR IMPROVING INFECTION CONTROL IN A FACILITY
    24.
    发明申请
    METHODS AND SYSTEMS FOR IMPROVING INFECTION CONTROL IN A FACILITY 审中-公开

    公开(公告)号：US20200074836A1

    公开(公告)日：2020-03-05

    申请号：US16561709

    申请日：2019-09-05

    Applicant: Honeywell International Inc.

    Inventor： Soumitri Kolavennu ,  Ramdas Pai ,  Arun Vijayakumari Mahasenan ,  Aravind Padmanabhan ,  Rongbao Nie

    IPC: G08B21/24 ,  G06K9/00

    Abstract: Methods and systems for monitoring procedural compliance of staff in a facility. A system may include a plurality of sensors positioned adjacent a hand washing station. Each of the plurality of sensors may be configured to provide a corresponding sensor output signal that is indicative of whether a person is washing their hands at the hand washing station or not. A controller may be configured to fuse the sensor output signals from each of two or more of the plurality of sensors and to determine using the fused sensor output signals whether the person has washed their hands at the hand washing station in compliance with one or more predetermined criteria or not. The controller may be further configured to output a notification when the controller has determined that the person has washed their hands at the hand washing station in compliance with the one or more predetermined criteria.

    FACIAL ENROLLMENT AND RECOGNITION SYSTEM
    25.
    发明申请
    FACIAL ENROLLMENT AND RECOGNITION SYSTEM 审中-公开

    公开(公告)号：US20190332848A1

    公开(公告)日：2019-10-31

    申请号：US15964220

    申请日：2018-04-27

    Applicant: Honeywell International Inc.

    Inventor： Aravind Padmanabhan ,  Tomas Brodsky ,  Yunting Lin

    IPC: G06K9/00 ,  G06F17/30

    Abstract: A facial recognition system includes a memory for storing a facial image database, wherein the facial image database includes a plurality of entries each corresponding to a different person, and wherein each entry includes a person identifier along with one or more facial images of the person. The facial recognition system further includes a facial recognition module that is operatively coupled to the memory. The facial recognition module is configured to receive a new facial image, and to select one or more facial recognition engines based on one or more facial image parameters of the new facial image, and to use the selected facial recognition engines to compare the new facial image with facial models that are based upon facial images stored in the facial image database in order to identify the person in the new facial image.

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