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    Doorbell camera
    35.
    发明授权
    Doorbell camera 有权

    公开(公告)号：US11212427B2

    公开(公告)日：2021-12-28

    申请号：US16883296

    申请日：2020-05-26

    Applicant: GOOGLE LLC

    Inventor： Haerim Jeong ,  Rengarajan Aravamudhan ,  Jacobi Grillo ,  Michael Dixon ,  Yu-An Lien ,  Minjung Kim ,  Etienne Bérubé ,  Rochus Jacob ,  Brian Conner ,  Scott Mullins

    IPC: H04N7/18 ,  H04N5/225 ,  G08B3/10 ,  H05K1/14

    Abstract: This application is directed to a doorbell camera for illuminating and capturing scenes. The doorbell camera includes at least a subset of processors for operating a camera module, an image sensor having a field of view of a scene and configured to capture video of a portion of the scene, one or more infrared (IR) illuminators for providing illumination, a waterproof button assembly, and a microphone and a speaker for enabling a real-time conversation between a visitor located at the doorbell camera and a user of a remote client device. The waterproof button assembly is configured to receive a user press on a button top, block water from entering the electronic device, and display a visual pattern uniformly at a peripheral region of the button assembly using LEDs and light guide component that are disposed under the button top.

    METHOD, APPARATUS AND SYSTEM FOR PASSIVE INFRARED SENSOR FRAMEWORK
    36.
    发明申请
    METHOD, APPARATUS AND SYSTEM FOR PASSIVE INFRARED SENSOR FRAMEWORK 审中-公开

    公开(公告)号：US20200300707A1

    公开(公告)日：2020-09-24

    申请号：US16894047

    申请日：2020-06-05

    Applicant: GOOGLE LLC

    Inventor： Yash Modi ,  Mark Rajan Malhotra ,  Gwendolyn van der Linden ,  Dongeek Shin ,  Michael Dixon

    IPC: G01J5/00 ,  G08B13/193 ,  G08B13/191 ,  G01J5/02 ,  G01J5/10

    Abstract: A method includes detecting, with a passive infrared sensor (PIR), a level of infrared radiation in a field of view (FOV) of the PIR, generating a signal based on detected levels over a period of time, the signal having values that exhibit a change in the detected levels, extracting a local feature from a sample of the signal, wherein the local feature indicates a probability that a human in the FOV caused the change in the detected levels, extracting a global feature from the sample of the signal, wherein the global feature indicates a probability that an environmental radiation source caused the change in the detected levels, determining a score based on the local feature and the global feature, and determining that a human motion has been detected in the FOV based on the score.

    BABY MONITORING WITH INTELLIGENT AUDIO CUEING BASED ON AN ANALYZED VIDEO STREAM
    37.
    发明申请
    BABY MONITORING WITH INTELLIGENT AUDIO CUEING BASED ON AN ANALYZED VIDEO STREAM 审中-公开

    公开(公告)号：US20190272724A1

    公开(公告)日：2019-09-05

    申请号：US15912018

    申请日：2018-03-05

    Applicant: Google LLC

    Inventor： William Greene ,  Michael Dixon

    IPC: G08B21/02 ,  H04N7/18 ,  G06K9/00

    Abstract: Various arrangements are presented for issuing an alert based on a baby's behavior. A video stream that images a baby may be received. The video stream may be analyzed to determine the baby is in a non-auditory discomfort state. A notification may be determined to be output to a caregiver based on the determined non-auditory discomfort state. An alert may be output that is indicative of the non-auditory discomfort state to an end-user device.

    Using images of a monitored scene to identify windows
    38.
    发明授权
    Using images of a monitored scene to identify windows 有权

    公开(公告)号：US10389954B2

    公开(公告)日：2019-08-20

    申请号：US15614558

    申请日：2017-06-05

    Applicant: GOOGLE LLC

    Inventor： Dongeek Shin ,  Michael Dixon

    IPC: H04N5/33 ,  H04N5/225 ,  H04N5/235 ,  G06K9/00 ,  G06K9/46 ,  G08B13/196 ,  G08B17/10 ,  H04N5/232 ,  G06T7/586 ,  G06T7/514 ,  G06T7/254 ,  G06K9/20 ,  G06T7/20 ,  H04N5/247 ,  H04N13/271

    Abstract: A camera system includes non-volatile memory, a lens, an image sensor to capture images of a scene within view of the lens, an IR illuminator, and a processing system. The processing system transitions the camera system from day mode to night mode when the scene is dark, and in the night mode, two operations are performed. The first operation uses the IR illuminator, the image sensor, and the memory to capture a first IR image or video of the scene and store the first IR image or video in the non-volatile memory. The second operation uses the IR illuminator, the image sensor, and the memory to identify a specular surface in the scene. This includes capturing a second IR image or video, identifying a first region of low intensity pixels, and storing, in the non-volatile memory, position parameters of the first region and designating the first region as specular.

    Using images of a monitored scene to identify windows
    40.
    发明授权
    Using images of a monitored scene to identify windows 有权

    公开(公告)号：US10306157B2

    公开(公告)日：2019-05-28

    申请号：US15432871

    申请日：2017-02-14

    Applicant: GOOGLE LLC

    Inventor： Dongeek Shin ,  Michael Dixon

    IPC: H04N5/33 ,  H04N5/225 ,  H04N5/235 ,  G06K9/00 ,  G06K9/46 ,  G08B13/196 ,  G08B17/10 ,  H04N5/232 ,  G06T7/586 ,  G06T7/514 ,  G06T7/254 ,  G06K9/20 ,  G06T7/20 ,  H04N5/247 ,  H04N13/271

    Abstract: A camera system includes memory, image sensors, illuminators, and a processor. The processor operates the illuminators and the image sensors in a first mode to capture a two-dimensional image of the scene using light transmitted by the illuminators and reflected from the scene. The processor operates in a second mode to capture a plurality of images of the scene, including capturing a first image of the scene while one or more of the illuminators are activated and capturing a second image of the scene is while none of the illuminators are activated. The images are transmitted to a remote cloud computing system. The remote system constructs a light intensity map for the scene using the first and second images, and identifies a first region in the light intensity map as a glass surface when the light intensity values for the first region are below a threshold value corresponding to glass.

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