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    Building security and emergency detection and advisement system
    1.
    发明授权
    Building security and emergency detection and advisement system 有权

    公开(公告)号：US11875661B2

    公开(公告)日：2024-01-16

    申请号：US18075905

    申请日：2022-12-06

    申请人： Tabor Mountain LLC

    发明人： Edward Michael Donegan ,  William Delmonico ,  Joseph Schmitt

    IPC分类号： G08B21/18 ,  G08B27/00 ,  G10L15/22

    CPC分类号： G08B21/18 ,  G08B27/005 ,  G10L15/22

    摘要： Disclosed are systems and methods for providing distributed security event monitoring. The system can include a central monitoring system and sensor devices positioned throughout a premises that passively detect conditions and emit signals guiding people on the premises when a security event is detected. The sensor devices can include suites of sensors and can transmit detected conditions to the central monitoring system. The central monitoring system can combine the detected conditions to generate a collective of detected conditions, determine whether the collective of detected conditions exceeds expected threshold conditions, identify a security event on the premises based on the collective of detected conditions, classify the security event using machine learning models, generate instructions to produce audio or visual output at the sensor devices that notifies people on the premises about the security event, and transmit the instructions to the sensor devices to emit signals indicating information about the security event.

    Predictive building emergency guidance and advisement system
    2.
    发明授权
    Predictive building emergency guidance and advisement system 有权

    公开(公告)号：US11756399B2

    公开(公告)日：2023-09-12

    申请号：US17986302

    申请日：2022-11-14

    申请人： Tabor Mountain LLC

    发明人： Russell G. Derickson

    IPC分类号： G08B17/00 ,  G08B25/10

    CPC分类号： G08B17/00 ,  G08B25/10

    摘要： The disclosed technology uses signaling devices and sensors that are distributed throughout a building in order to provide egress guidance to people located in a building when an emergency occurs. Such signaling devices can be located at or near doors, windows, and/or other junction points between different parts of a building (e.g., passageways between different rooms). Signaling devices can provide audio and/or visual information to people to guide them along a safe pathway that is selected to provide safe egress for the person, including anticipating and protecting the person from changing emergency conditions within the building.

    REMOTE CONTROL OF WATER SUPPLY SYSTEMS
    4.
    发明公开
    REMOTE CONTROL OF WATER SUPPLY SYSTEMS 审中-公开

    公开(公告)号：US20240108929A1

    公开(公告)日：2024-04-04

    申请号：US18381859

    申请日：2023-10-19

    申请人： Tabor Mountain LLC

    发明人： Joseph Schmitt ,  Michael Kramer ,  Ronak Desai ,  Randall Kurtz

    IPC分类号： A62C37/44 ,  A62C3/00 ,  A62C35/60 ,  A62C35/68 ,  A62C37/36 ,  G05B15/02 ,  G05B19/406

    CPC分类号： A62C37/44 ,  A62C3/00 ,  A62C35/60 ,  A62C35/68 ,  A62C37/36 ,  G05B15/02 ,  G05B19/406 ,  A62C37/00

    摘要： In one implementation, a computer-implemented method includes receiving, at a computer system, information that indicates that a fire has been detected in a building and that a fire suppression system within the building has begun dousing the fire; monitoring sensor information from one or more sensors located within the building; determining, by the computer system and based on the sensor information, whether the fire has been extinguished; activating, in response to determining that the fire has been extinguished, a feature to turn off a water supply to the building, the feature being presented on a computing device for a user who is associated with the building; receiving, after activating the feature and from the computing device, a command to turn off the water supply; and transmitting, by the computer system, a control signal that causes an electromechanical device to close a water valve within the building.

    Systems and methods for machine learning-based emergency egress and advisement
    5.
    发明授权
    Systems and methods for machine learning-based emergency egress and advisement 有权

    公开(公告)号：US11850515B2

    公开(公告)日：2023-12-26

    申请号：US17877072

    申请日：2022-07-29

    申请人： Tabor Mountain LLC

    发明人： Bill Delmonico ,  Joseph Schmitt

    IPC分类号： A63F13/5378 ,  G06F3/0482 ,  G06F16/23 ,  G06F16/245 ,  A63F13/65 ,  H04L67/52 ,  G06N20/00

    CPC分类号： A63F13/5378 ,  A63F13/65 ,  G06F3/0482 ,  G06F16/2379 ,  G06F16/245 ,  H04L67/52 ,  G06N20/00

    摘要： The disclosed systems and methods provide for generating real-time egress plans for users in a building, based on the users' current locations. As the users' current locations change, egress plans associated with the users can be dynamically modified in real-time. The egress plans can also be generated, modified, and/or trained based on inputted information about the user. The disclosed technology can include a mobile application for presenting, in a centralized interface, information about user-specific egress plans, training the user for different emergency scenarios, improving or changing features in the building to improve safety, and user profiles. The mobile application can include training simulation games to help prepare the users to safely egress during an emergency. The disclosed technology can also predict building component and structure emergency risk levels. The disclosed technology can also designate zones in the building based on possible egress routes.

    SYSTEMS AND METHODS FOR MACHINE LEARNING-BASED EMERGENCY EGRESS AND ADVISEMENT
    7.
    发明公开
    SYSTEMS AND METHODS FOR MACHINE LEARNING-BASED EMERGENCY EGRESS AND ADVISEMENT 审中-公开

    公开(公告)号：US20240082720A1

    公开(公告)日：2024-03-14

    申请号：US18508409

    申请日：2023-11-14

    申请人： Tabor Mountain LLC

    发明人： Bill Delmonico ,  Joseph Schmitt

    IPC分类号： A63F13/5378 ,  A63F13/65 ,  G06F3/0482 ,  G06F16/23 ,  G06F16/245 ,  H04L67/52

    CPC分类号： A63F13/5378 ,  A63F13/65 ,  G06F3/0482 ,  G06F16/2379 ,  G06F16/245 ,  H04L67/52 ,  G06N20/00

    摘要： The disclosed systems and methods provide for generating real-time egress plans for users in a building, based on the users' current locations. As the users' current locations change, egress plans associated with the users can be dynamically modified in real-time. The egress plans can also be generated, modified, and/or trained based on inputted information about the user. The disclosed technology can include a mobile application for presenting, in a centralized interface, information about user-specific egress plans, training the user for different emergency scenarios, improving or changing features in the building to improve safety, and user profiles. The mobile application can include training simulation games to help prepare the users to safely egress during an emergency. The disclosed technology can also predict building component and structure emergency risk levels. The disclosed technology can also designate zones in the building based on possible egress routes.

    BUILDING SECURITY AND EMERGENCY DETECTION AND ADVISEMENT SYSTEM
    10.
    发明公开
    BUILDING SECURITY AND EMERGENCY DETECTION AND ADVISEMENT SYSTEM 审中-公开

    公开(公告)号：US20240087441A1

    公开(公告)日：2024-03-14

    申请号：US18508386

    申请日：2023-11-14

    申请人： Tabor Mountain LLC

    发明人： Edward Michael Donegan ,  William Delmonico ,  Joseph Schmitt

    IPC分类号： G08B21/18 ,  G08B27/00 ,  G10L15/22

    CPC分类号： G08B21/18 ,  G08B27/005 ,  G10L15/22

    摘要： Disclosed are systems and methods for providing distributed security event monitoring. The system can include a central monitoring system and sensor devices positioned throughout a premises that passively detect conditions and emit signals guiding people on the premises when a security event is detected. The sensor devices can include suites of sensors and can transmit detected conditions to the central monitoring system. The central monitoring system can combine the detected conditions to generate a collective of detected conditions, determine whether the collective of detected conditions exceeds expected threshold conditions, identify a security event on the premises based on the collective of detected conditions, classify the security event using machine learning models, generate instructions to produce audio or visual output at the sensor devices that notifies people on the premises about the security event, and transmit the instructions to the sensor devices to emit signals indicating information about the security event.