Systems and methods of tamper detection

    公开(公告)号:US10062249B1

    公开(公告)日:2018-08-28

    申请号:US15798446

    申请日:2017-10-31

    Applicant: Google LLC

    CPC classification number: G08B13/08 G01P15/18 G08B25/14 G08B29/046

    Abstract: Systems and methods are provided for determining, at a controller of a device of a premises management system having a head unit and a backplate, at least a partial removal of the head unit from the backplate based on a position of a removal switch that detects connectivity between the head unit and the backplate. When the controller determines that the position of the removal switch is in an open position, an orientation of the head unit may be continuously determined based on an output signal from an accelerometer coupled to the head unit. A tampering signal is output based on the open position of the backplate removal switch and the determined orientation of the head unit.

    Sensor bypass
    14.
    发明授权

    公开(公告)号:US11100786B2

    公开(公告)日:2021-08-24

    申请号:US15797104

    申请日:2017-10-30

    Applicant: Google LLC

    Abstract: Systems and techniques are provided for sensor bypass. Activation may be received at a bypass input of an entry point sensor of a security system while the entry point sensor is in an armed mode. The entry point sensor may detect that the entry point monitored by the entry point sensor is closed. The entry point sensor may enter into a bypass mode. Detection by the entry point sensor of an opening of the entry point while the entry point sensor is in the bypass mode may not result in the generation of an alarm by the security system.

    METHOD, APPARATUS AND SYSTEM FOR PASSIVE INFRARED SENSOR FRAMEWORK

    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

    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.

    Heating controls and methods for an environmental control system

    公开(公告)号:US10012407B2

    公开(公告)日:2018-07-03

    申请号:US14596059

    申请日:2015-01-13

    Applicant: Google LLC

    Abstract: Embodiments of the invention describe thermostats that use model predictive controls and related methods. A method of controlling a thermostat using a model predictive control may involve determining a parameterized model. The parameterized model may be used to predicted ambient temperature values for an enclosure. A set of radiant heating system control strategies may be selected for evaluation to determine an optimal control strategy from the set of control strategies. To determine the optimal control strategy, a predictive algorithm may be executed, in which each control strategy is applied to the parameterized model to predict an ambient temperature trajectory and each ambient temperature trajectory is processed in view of a predetermined assessment function. Processing the ambient temperature trajectory in this manner may involve minimizing a cost value associated with the ambient temperature trajectory. The radiant heating system may subsequently be controlled according to the selected optimal control strategy.

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