Learned overrides for home security
    41.
    发明授权
    Learned overrides for home security 有权
    了解了家庭安全的覆盖

    公开(公告)号:US09520049B2

    公开(公告)日:2016-12-13

    申请号:US14585469

    申请日:2014-12-30

    Applicant: Google Inc.

    CPC classification number: G08B25/008 G08B13/2491 G08B25/009

    Abstract: Systems and techniques are provided for learned overrides for home security. A sensor of a security system may be armed. A trip signal may be received indicating a tripping of the sensor. It may be determined that the trip signal can be automatically overridden based on matching an identity of the sensor and a state of the security system with a pattern in a model. The pattern may represent a state of the security system in which automatically overriding the trip signal from the sensor is permitted. The trip signal from the sensor may be automatically overridden without input from a user.

    Abstract translation: 系统和技术被提供用于家庭安全的学习覆盖。 安全系统的传感器可以布防。 可以接收指示传感器跳闸的跳闸信号。 可以基于使用模型中的模式匹配传感器的身份和安全系统的状态,可以自动覆盖跳闸信号。 该模式可以表示允许自动覆盖来自传感器的跳闸信号的安全系统的状态。 来自传感器的跳闸信号可能会自动覆盖,无需用户的输入。

    Automatic security system mode selection
    42.
    发明授权
    Automatic security system mode selection 有权
    自动安全系统模式选择

    公开(公告)号:US09508250B2

    公开(公告)日:2016-11-29

    申请号:US14585491

    申请日:2014-12-30

    Applicant: Google Inc.

    CPC classification number: G08B29/185 G08B19/00 G08B21/0423 G08B25/008

    Abstract: Systems and techniques are provided for automatic security system mode selection. A set of signals may be received from sensors distributed in an environment with a security system. The security system may be in a first mode. An occupancy model may be received. An occupancy estimate may be generated for the environment based on the set of signals from the sensors and the occupancy model. Mode rules may be received. The mode rules associate occupancy estimates with modes of the security system. A second mode for the security system may be determined based on the occupancy estimate and mode rules. The second mode may be different from the first mode. The mode of the security system may be automatically changed from the first mode to the second mode.

    Abstract translation: 提供系统和技术用于自动安全系统模式选择。 可以从分布在具有安全系统的环境中的传感器接收一组信号。 安全系统可以处于第一模式。 可以接收占用模型。 可以基于来自传感器和占用模型的一组信号为环境生成占用估计。 可以接收模式规则。 模式规则将占用率估计与安全系统的模式相关联。 可以基于占用率估计和模式规则来确定用于安全系统的第二模式。 第二模式可以不同于第一模式。 安全系统的模式可以自动地从第一模式改变到第二模式。

    Systems and methods of automated arming and disarming of a security system
    43.
    发明授权
    Systems and methods of automated arming and disarming of a security system 有权
    安全系统的自动布防和撤防的系统和方法

    公开(公告)号:US09508247B2

    公开(公告)日:2016-11-29

    申请号:US14585278

    申请日:2014-12-30

    Applicant: Google Inc.

    Abstract: Systems and methods of security are provided, including at least one of a plurality of sensors to detect a location of at least one user, and generate detection data according to the detected location of the at least one user. A processor may be communicatively coupled to the at least one of the plurality of sensors to receive the detection data and to determine whether the at least one user is occupying a building according to the detection data. An alarm device, communicatively coupled to the processor, can be armed or disarmed by the processor according to the determination as to whether the at least one user is occupying the building.

    Abstract translation: 提供了安全系统和方法,包括用于检测至少一个用户的位置的多个传感器中的至少一个,并且根据检测到的至少一个用户的位置生成检测数据。 处理器可以通信地耦合到多个传感器中的至少一个传感器,以接收检测数据并且根据检测数据来确定至少一个用户是否占用建筑物。 根据关于至少一个用户是否占用建筑物的确定,通信地耦合到处理器的报警装置可被处理器装备或撤防。

    MONITORING EXTERNAL VIBRATION SOURCES FOR DATA COLLECTION
    44.
    发明申请
    MONITORING EXTERNAL VIBRATION SOURCES FOR DATA COLLECTION 有权
    监测数据收集的外部振动源

    公开(公告)号:US20160299256A1

    公开(公告)日:2016-10-13

    申请号:US14683769

    申请日:2015-04-10

    Applicant: Google Inc.

    CPC classification number: G01W1/10 G01V1/30

    Abstract: A system and method is provided for the control of a network of devices wherein each device of the networked devices provides for the operation of a sensor such as an accelerometer, processor and communication element within each device, and network and/or cloud based processing and storage, to process collected data to permit detection and predictive analysis of traffic patterns, weather patterns and other forces of nature. The system and method can analyze duration and magnitude of vibration signals, and considering maps and known locations of devices, tracks and highways and historical data regarding each, use machine learning techniques to accurately classify the motion and provide real-time and predictive analysis.

    Abstract translation: 提供了一种用于控制设备网络的系统和方法,其中网络设备的每个设备提供诸如每个设备内的加速度计,处理器和通信元件等传感器的操作,以及基于网络和/或基于云的处理和 存储,处理收集的数据,以允许对交通模式,天气模式和其他自然力量的检测和预测分析。 该系统和方法可以分析振动信号的持续时间和幅度,并考虑设备,轨道和高速公路的地图和已知位置以及与之相关的历史数据,使用机器学习技术准确分类运动并提供实时和预测分析。

    Path Light Feedback Compensation
    45.
    发明申请
    Path Light Feedback Compensation 有权
    路径光反馈补偿

    公开(公告)号:US20160249435A1

    公开(公告)日:2016-08-25

    申请号:US15144180

    申请日:2016-05-02

    Applicant: Google Inc.

    Abstract: A path light that utilizes an ambient light sensor to determine the lighting conditions may experience feedback from its light source if it determines that the lighting conditions are appropriate to illuminate the path light's light source. The path light, as disclosed herein, may compute an offset value to ascertain the amount of feedback from the light source. Upon learning the offset value, the path light may subtract the offset value from a detected amount of light to determine whether the lighting conditions of its surroundings still meet a threshold level of darkness for the path light to illuminate.

    Abstract translation: 利用环境光传感器来确定照明条件的路径光如果确定照明条件适合于照亮路灯的光源,则可能会经历来自其光源的反馈。 如本文所公开的路径光可以计算偏移值以确定来自光源的反馈量。 在学习偏移值时,路径光可以从检测到的光量中减去偏移值,以确定其周围环境的照明条件是否仍然满足路径光照明的阈值黑暗水平。

    SECURITY SCORING IN A SMART-SENSORED HOME
    46.
    发明申请
    SECURITY SCORING IN A SMART-SENSORED HOME 审中-公开
    智能感应家庭安全评分

    公开(公告)号:US20150061859A1

    公开(公告)日:2015-03-05

    申请号:US14489162

    申请日:2014-09-17

    Applicant: Google Inc.

    Abstract: This patent specification relates to apparatus, systems, methods, and related computer program products for providing home security objectives. More particularly, this patent specification relates to a plurality of devices, including intelligent, multi-sensing, network-connected devices, that communicate with each other and/or with a central server or a cloud-computing system to provide any of a variety of useful home security objectives.

    Abstract translation: 本专利说明书涉及用于提供家庭安全目标的装置,系统,方法和相关的计算机程序产品。 更具体地说,本专利说明书涉及多个设备,包括智能,多感测,网络连接的设备,其彼此通信和/或与中央服务器或云计算系统通信以提供各种各样的 有用的家庭安全目标。

    Systems and methods of motion detection using dynamic thresholds and data filtering

    公开(公告)号:US10942196B2

    公开(公告)日:2021-03-09

    申请号:US15676564

    申请日:2017-08-14

    Applicant: Google Inc.

    Abstract: Systems and methods of detecting human movement with a sensor are provided, including generating a motion event signal in response to movement detected by the sensor, and generating a parameterized curve to represent the detected motion. The parameterized curve is fit to a predetermined window of sensor data captured by the sensor to filter the motion event signal. A noise magnitude estimate and a curve fit error is determined based on the fitted parameterized curve to the predetermined window. A detection threshold value is determined based on the curve fit error, a noise source signal estimate of known noise, and zero or more noise magnitudes from other sources. Human motion is determined by correlating a true motion event signal with human motion based on a comparison between a value of a point on the parameterized curve and the detection threshold value.

    Object rejection system and method
    48.
    发明授权

    公开(公告)号:US10402643B2

    公开(公告)日:2019-09-03

    申请号:US15183471

    申请日:2016-06-15

    Applicant: Google Inc.

    Abstract: A system and method for detecting human intruders while rejecting/ignoring an occupant's registered pet. An object detection system is configured to detect an object that is present in a monitored area and generate a signal output relative to the type of object. A signature processor is configured to receive the generated signal output and produce an object signature, and compare a threshold signature to the object signature, wherein the threshold signature is generated using a photograph of a reserved object, and wherein the object detection system rejects the detected object when the object signature is determined to be similar to the threshold signatures.

    SYSTEMS AND METHODS OF MOTION DETECTION USING DYNAMIC THRESHOLDS AND DATA FILTERING

    公开(公告)号:US20190049479A1

    公开(公告)日:2019-02-14

    申请号:US15676564

    申请日:2017-08-14

    Applicant: Google Inc.

    Abstract: Systems and methods of detecting human movement with a sensor are provided, including generating a motion event signal in response to movement detected by the sensor, and generating a parameterized curve to represent the detected motion. The parameterized curve is fit to a predetermined window of sensor data captured by the sensor to filter the motion event signal. A noise magnitude estimate and a curve fit error is determined based on the fitted parameterized curve to the predetermined window. A detection threshold value is determined based on the curve fit error, a noise source signal estimate of known noise, and zero or more noise magnitudes from other sources. Human motion is determined by correlating a true motion event signal with human motion based on a comparison between a value of a point on the parameterized curve and the detection threshold value.

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