Abstract: A turbine engine including a first outer casing and a second outer casing coupled together at a flange. The first outer casing and the second outer casing are together disposed around a core engine. An inner casing assembly is extended from the flange between the first outer casing and the second outer casing. A flow circuit is defined between the first outer casing, the inner casing assembly, and the second outer casing.

Abstract: Systems and techniques are provided for blocked sensor detection and notification. A signal may be received from a sensor. The sensor may be determined to be producing anomalous output based on checking the signal from the sensor against a signal from a second sensor on the same sensor device as the sensor, checking the signal from the sensor against signals from sensors on additional sensor devices, and checking the signal from the sensor against a slow temporal model for the sensor. In response to the determination that the sensor is producing anomalous output, a notification may be generated indicating the sensor is producing anomalous output, and a confidence level in the sensor may be degraded.

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.

Abstract: Systems and methods of a security system are provided, including detecting, by a sensor, a sound event, and selecting, by a processor coupled to the sensor, at least a portion of sound data captured by the sensor that corresponds to at least one sound feature of the detected sound event. The systems and methods include classifying the at least one sound feature into one or more sound categories, and determining, by a processor, based upon a database of home-specific sound data, whether the at least one sound feature is a human-generated sound. A notification can be transmitted to a computing device according to the sound event.

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.

Abstract: A method of monitoring physical characteristics of subjects in sleep environments may include receiving, through a video camera, a video feed of a subject in a sleep environment; analyzing the video feed of the subject to identify motion of the subject in the video feed; and causing a mobile device to present a representation of the motion of the subject, wherein the motion of the subject is exaggerated.

Abstract: A method of optimizing sleep of a subject using smart-home devices may include operating a smart-home system that is configured to operate in a normal mode and a sleep mode. The method may also include determining that the smart-home system should transition into the sleep mode. The smart-home devices may use a set of default parameters when operating in the sleep mode. The method may additionally include monitoring, while in the sleep mode, a sleep cycle of the subject using the smart-home devices. The method may further include detecting behavior of the subject that indicates that the sleep cycle of the subject is being interrupted or about to be interrupted, determining an environmental control that corresponds with the behavior of the subject, and adjusting the environmental control using the smart-home devices to prevent or stop the sleep cycle of the subject from being interrupted.

Abstract: A method of monitoring physical characteristics of subjects in sleep environments may include receiving, through a video camera, a video feed of a subject in a sleep environment, where the video camera may include a thermal imaging camera, and where the video feed may include thermal images of a face of the subject. The method may also include establishing a baseline thermal signature of the face of the subject. The method may additionally include identifying a thermal anomaly by comparing the baseline thermal signature to a current thermal image of the face of the subject. The method may further include identifying a condition of the subject based on the thermal anomaly.

Abstract: A method for adaptively adjusting a threshold used to detect the presence of a living being may include receiving a first set of sensor measurements acquired by a passive infrared (PIR) sensor during a time period when the living being is not expected to be present in a space monitored by the PIR sensor. Here, the sensor measurements may depend on one or more noise sensitivity characteristics of the PIR sensor. The method may include adjusting a threshold that may indicate a presence of the living being based on the first set of sensor measurements. The method may then receive a second set of sensor measurements acquired by the PIR sensor and detect the presence of the living being when at least one of the second set of sensor measurements exceeds the threshold.

Abstract: A method includes capturing data with a plurality of network connected sensors installed in or around a premises, storing at least a sampling of the data in an electronic storage device, analyzing the stored data with a processor to automatically identify one or more types of trends or patterns, creating, based on the analysis, a zone definition for a first zone that corresponds to an area of the premises from which data was captured by one or more sensors selected from among the plurality of sensors, and configuring at least one system operating in or around the premises automatically based on the first zone definition.

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.

Abstract: A method of presenting appropriate actions for responding to a visitor to a smart home environment via an electronic greeting system of the smart home environment, including detecting a visitor of the smart home environment; obtaining context information from the smart home environment regarding the visitor; based on the context information, identifying a plurality of appropriate actions available to a user of a client device for interacting with the visitor via the electronic greeting system; and causing the identified actions to be presented to the user of the client device.

Abstract: A method of detecting and responding to a visitor to a smart home environment via an electronic greeting system of the smart home environment, including determining that a visitor is approaching an entryway of the smart home environment; initiating a facial recognition operation while the visitor is approaching the entryway; initiating an observation window in response to the determination that a visitor is approaching the entryway; obtaining context information from one or more sensors of the smart home environment during the observation window; and at the end of the time window, initiating a response to the detected approach of the visitor based on the context information and/or an outcome of the facial recognition operation.

Abstract: Hazard detection systems and methods according to embodiments described herein are operative to enable a user to interface with the hazard detection system by performing a touchless gesture. The touchless gesture can be performed in a vicinity of the hazard detection system without requiring physical access to the hazard detection system. This enables the user to interact with the hazard detection system even if it is out of reach. The hazard detection system can detect gestures and perform an appropriate action responsive to the detected gesture. In one embodiment, the hazard detection system can silence its audible alarm or pre-emptively turn off its audible alarm in response to a detected gesture. Gestures can be detected by processing sensor data to determine whether periodic shapes are detected.

Abstract: Systems and methods of a security system are provided, including detecting, by a sensor, a sound event, and selecting, by a processor coupled to the sensor, at least a portion of sound data captured by the sensor that corresponds to at least one sound feature of the detected sound event. The systems and methods include classifying the at least one sound feature into one or more sound categories, and determining, by a processor, based upon a database of home-specific sound data, whether the at least one sound feature is a human-generated sound. A notification can be transmitted to a computing device according to the sound event.

Abstract: Hazard detection systems and methods according to embodiments described herein are operative to enable a user to interface with the hazard detection system by performing a touchless gesture. The touchless gesture can be performed in a vicinity of the hazard detection system without requiring physical access to the hazard detection system. This enables the user to interact with the hazard detection system even if it is out of reach. The hazard detection system can detect gestures and perform an appropriate action responsive to the detected gesture. In one embodiment, the hazard detection system can silence its audible alarm or pre-emptively turn off its audible alarm in response to a detected gesture. Gestures can be detected by processing sensor data to determine whether periodic shapes are detected.

Abstract: A system and method for the use of sensors and processors of existing, distributed systems, operating individually or in cooperation with other systems, networks or cloud-based services to enhance the detection and classification of sound events in an environment (e.g., a home), while having low computational complexity. The system and method provides functions where the most relevant features that help in discriminating sounds are extracted from an audio signal and then classified depending on whether the extracted features correspond to a sound event that should result in a communication to a user. Threshold values and other variables can be determined by training on audio signals of known sounds in defined environments, and implemented to distinguish human and pet sounds from other sounds, and compensate for variations in the magnitude of the audio signal, different sizes and reverberation characteristics of the environment, and variations in microphone responses.

Abstract: Systems and methods of a security system are provided, including detecting, by a sensor, a sound event, and selecting, by a processor coupled to the sensor, at least a portion of sound data captured by the sensor that corresponds to at least one sound feature of the detected sound event. The systems and methods include classifying the at least one sound feature into one or more sound categories, and determining, by a processor, based upon a database of home-specific sound data, whether the at least one sound feature is a human-generated sound. A notification can be transmitted to a computing device according to the sound event.

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: 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.