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    Determination of user presence and absence using WiFi connections
    11.
    发明授权
    Determination of user presence and absence using WiFi connections 有权

    公开(公告)号：US12207117B2

    公开(公告)日：2025-01-21

    申请号：US18480101

    申请日：2023-10-03

    Applicant: Google LLC

    Inventor： Marci Meingast ,  Andrew Axley ,  Daniele Midi

    IPC: H04W4/00 ,  G06N20/00 ,  H04W24/08 ,  H04W84/12

    Abstract: Systems and techniques are provided for determination of user presence and absence using WiFi connections. Reports may be received from WiFi access points in an environment. The reports may include an identifier of a WiFi device, an indication of a connection to or disconnection from a WiFi access point, a time of the connection or disconnection, and an identifier of the WiFi access point. A connection sequence for the WiFi device may be generated from the reports. Whether the WiFi device is present in or absent from the environment as of a specified time may be determined based on the connection sequence. An indication of presence for a user associated with the WiFi device may generated if the WiFi device is present in the environment. An indication of absence for the user associated with the WiFi device may be generated if the WiFi device is absent from the environment.

    Autogenerated Language Model Notifications
    12.
    发明公开
    Autogenerated Language Model Notifications 审中-公开

    公开(公告)号：US20240184994A1

    公开(公告)日：2024-06-06

    申请号：US18441268

    申请日：2024-02-14

    Applicant: Google LLC

    Inventor： Andrew Larsen Axley ,  Jacob Antony Arnold ,  Ruochuan Zhang ,  Marci Meingast ,  Erin Rebecca Griffiths ,  Eric Jeffrey Hayashi ,  Nahyun Kwon

    IPC: G06F40/40 ,  G06F18/2413

    CPC classification number: G06F40/40 ,  G06F18/2413

    Abstract: This document describes systems and techniques directed at autogenerated language model notifications. In aspects, a device management system associated with a network of network-connected devices includes a prompt manager. The prompt manager obtains metadata associated with the network and integrates at least portions of data from the metadata into one or more templated prompts to create an instantiated prompt. The instantiated prompt can be transmitted to a language model to generate a language model output. The prompt manager may then provide, based on the language model output, a notification to a user associated with at least one network-connected device. Through such a technique, the prompt manager can improve user experience and facilitate user proactiveness managing their network of network-connected devices.

    DETERMINATION OF USER PRESENCE AND ABSENCE USING WIFI CONNECTIONS
    13.
    发明申请
    DETERMINATION OF USER PRESENCE AND ABSENCE USING WIFI CONNECTIONS 有权

    公开(公告)号：US20220408287A1

    公开(公告)日：2022-12-22

    申请号：US17746840

    申请日：2022-05-17

    Applicant: Google LLC

    Inventor： Marci Meingast ,  Andrew Axley ,  Daniele Midi

    IPC: H04W24/08 ,  G06N20/00

    Abstract: Systems and techniques are provided for determination of user presence and absence using WiFi connections. Reports may be received from WiFi access points in an environment. The reports may include an identifier of a WiFi device, an indication of a connection to or disconnection from a WiFi access point, a time of the connection or disconnection, and an identifier of the WiFi access point. A connection sequence for the WiFi device may be generated from the reports. Whether the WiFi device is present in or absent from the environment as of a specified time may be determined based on the connection sequence. An indication of presence for a user associated with the WiFi device may generated if the WiFi device is present in the environment. An indication of absence for the user associated with the WiFi device may be generated if the WiFi device is absent from the environment.

    Determination of user presence and absence using WiFi connections
    14.
    发明授权
    Determination of user presence and absence using WiFi connections 有权

    公开(公告)号：US11337091B2

    公开(公告)日：2022-05-17

    申请号：US16864015

    申请日：2020-04-30

    Applicant: GOOGLE LLC

    Inventor： Marci Meingast ,  Andrew Axley ,  Daniele Midi

    IPC: H04W4/00 ,  H04W24/08 ,  G06N20/00 ,  H04W84/12

    Abstract: Systems and techniques are provided for determination of user presence and absence using WiFi connections. Reports may be received from WiFi access points in an environment. The reports may include an identifier of a WiFi device, an indication of a connection to or disconnection from a WiFi access point, a time of the connection or disconnection, and an identifier of the WiFi access point. A connection sequence for the WiFi device may be generated from the reports. Whether the WiFi device is present in or absent from the environment as of a specified time may be determined based on the connection sequence. An indication of presence for a user associated with the WiFi device may generated if the WiFi device is present in the environment. An indication of absence for the user associated with the WiFi device may be generated if the WiFi device is absent from the environment.

    AUTOMATION AND RECOMMENDATION BASED ON DEVICE CONTROL PROTOCOLS
    15.
    发明申请
    AUTOMATION AND RECOMMENDATION BASED ON DEVICE CONTROL PROTOCOLS 有权

    公开(公告)号：US20210400348A1

    公开(公告)日：2021-12-23

    申请号：US16903606

    申请日：2020-06-17

    Applicant: Google LLC

    Inventor： Kenneth Mixter ,  Marci Meingast ,  Jennifer Yick

    IPC: H04N21/466 ,  H04N21/482 ,  H04N21/45 ,  H04N21/436 ,  H04N21/4363

    Abstract: Systems and techniques are provided for automation and recommendation based on device control protocols. HDMI-CEC device control data may be received from a connected electronic device that may be connected to an electronic display device. The HDMI-CEC device control data may be based on a HDMI-CEC device control signal from the electronic display device. Signals may be received from sensor devices located in a same structure as the electronic display device. The HDMI-CEC device control data and signals from the sensor devices may be input to the machine learning system. The machine learning system may generate a control signal for a device. The control signal may be sent to the device to be implemented by the device.

    ANOMALOUS PATH DETECTION WITHIN CAMERAS' FIELDS OF VIEW
    19.
    发明申请
    ANOMALOUS PATH DETECTION WITHIN CAMERAS' FIELDS OF VIEW 有权

    公开(公告)号：US20230016900A1

    公开(公告)日：2023-01-19

    申请号：US17872940

    申请日：2022-07-25

    Applicant: Google LLC

    Inventor： Marci Meingast

    IPC: G06V20/52 ,  G06K9/62 ,  G06V40/20

    Abstract: Systems and techniques are provided for anomalous path detection within cameras' fields of view. Video of the field of view of a camera in an environment may be received from the camera. A person may be detected in the video. Motion of the person in the video may be tracked to generate a motion path. Contextual data for the motion path may be received. The motion path and contextual data may be stored in a camera training data set. A camera model for the camera and the field of view may be generated by inputting the camera training data set to a machine learning system. The camera model for the camera and the field of view may be stored.

    Anomalous path detection within cameras' fields of view
    20.
    发明授权
    Anomalous path detection within cameras' fields of view 有权

    公开(公告)号：US11417102B1

    公开(公告)日：2022-08-16

    申请号：US16894541

    申请日：2020-06-05

    Applicant: GOOGLE LLC

    Inventor： Marci Meingast

    IPC: G06V20/52 ,  G06K9/62 ,  G06V40/20

    Abstract: Systems and techniques are provided for anomalous path detection within cameras' fields of view. Video of the field of view of a camera in an environment may be received from the camera. A person may be detected in the video. Motion of the person in the video may be tracked to generate a motion path. Contextual data for the motion path may be received. The motion path and contextual data may be stored in a camera training data set. A camera model for the camera and the field of view may be generated by inputting the camera training data set to a machine learning system. The camera model for the camera and the field of view may be stored.

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