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:
This patent specification relates to apparatus, systems, methods, and related computer program products for providing home security/smart home 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/smart home objectives.
Abstract:
This patent specification relates to apparatus, systems, methods, and related computer program products for providing home security/smart home 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/smart home objectives.
Abstract:
In various embodiments, a hazard detector is presented. The hazard detector may include a hazard detection sensor that detects a presence of a type of hazard. The hazard detector may include a light and a light sensor that senses a brightness level in an ambient environment of the hazard detector. The hazard detector may include a processing system configured to receive an indication of the brightness level in the ambient environment of the hazard detector from the light sensor. The processing system may determine the brightness level in the ambient environment of the hazard detector has reached a threshold value. A status check of one or more components of the hazard detector may be performed. The processing system may cause the light to illuminate using a selected illumination state in response to the determining the brightness level in the ambient environment of the hazard detector has reached the threshold value.
Abstract:
Various embodiments of hazard detectors are presented. A hazard sensor may be present that detects the presence of a hazardous condition. A light sensor may be present that detects an ambient brightness level. A motion sensor may be present that detects motion of a user. A light may be present that is capable of outputting light. A processing system may receive an indication of the ambient brightness level in the ambient environment of the hazard detector from the light sensor. The processing system may determine that the ambient brightness level is less than a threshold brightness. The processing system may receive information indicative of the user moving in the ambient environment of the hazard detector. The processing system may cause the light to illuminate based on the ambient brightness level being below the threshold brightness and the user moving in the ambient environment of the hazard detector.
Abstract:
In an embodiment, a method determines one or more sources of carbon monoxide (CO) in a smart-home environment that includes a plurality of smart devices that have at least measurement and communication capabilities. The method includes measuring a level of CO in the smart-home environment to generate a CO measurement, and providing the CO measurement and one or more current characteristics of the smart-home environment, from one or more of the smart devices to an analyzing device. The method further includes evaluating, by the analyzing device and with the CO measurement and the current characteristics of the smart-home environment, a set of CO correlation scenarios that attribute generation of CO to a corresponding one of a set of specific sources, and selecting one or more of the specific sources as the most likely source of the CO, by aggregating results of the correlation scenarios.
Abstract:
Methods and devices for controlling a heating, ventilation, and air conditioning (HVAC) system by a thermostat are provided. Input can be received from a user via a thermostat, the input being indicative of an adjustment of an HVAC-related setting. On a real-time basis, the HVAC-related setting that is being adjusted can be compared against a feedback criterion designed to indicate a circumstance under which feedback is to be presented to the user. The circumstance can be indicative of an achievement of a HVAC-related setting of a predetermined responsibility level with respect to an energy usage of the HVAC system. Upon a real-time determination that the feedback criterion is satisfied, visual feedback can be caused to be presented to the user in real-time. The real-time feedback can include a visual icon having a visual appeal corresponding to a desirability of the satisfaction of the feedback criterion.
Abstract:
Systems and methods for using multi-criteria state machines to manage alarming states and pre-alarming states of a hazard detection system are described herein. The multi-criteria state machines can include one or more sensor state machines that can control the alarming states and one or more system state machines that can control the pre-alarming states. Each state machine can transition among any one of its states based on sensor data values, hush events, and transition conditions. The transition conditions can define how a state machine transitions from one state to another. The hazard detection system can use a dual processor arrangement to execute the multi-criteria state machines according to various embodiments. The dual processor arrangement can enable the hazard detection system to manage the alarming and pre-alarming states in a manner that promotes minimal power usage while simultaneously promoting reliability in hazard detection and alarming functionality.
Abstract:
This application discloses a method implemented by an electronic device to detect a signature event (e.g., a baby cry event) associated with an audio feature (e.g., baby sound). The electronic device obtains a classifier model from a remote server. The classifier model is determined according to predetermined capabilities of the electronic device and ambient sound characteristics of the electronic device, and distinguishes the audio feature from a plurality of alternative features and ambient noises. When the electronic device obtains audio data, it splits the audio data to a plurality of sound components each associated with a respective frequency or frequency band and including a series of time windows. The electronic device further extracts a feature vector from the sound components, classifies the extracted feature vector to obtain a probability value according to the classifier model, and detects the signature event based on the probability value.
Abstract:
The current application is directed to an intelligent control system that includes intelligent thermostats and remote servers that spread call-home events over time to avoid large peak computational and communications loads on intelligent-control-system servers. The spreading of call-home vents over time is effected by use of call-home splay values pseudorandomly generated for intelligent thermostats.