According to some embodiments, a control device for a premises security system that is configured to monitor a premises using a plurality of premises devices is provided. The control device is configured to obtain a plurality of acoustic samples for the premises, detect a sound anomaly in at least one of the plurality of acoustic samples, obtain a verification that the sound anomaly is expected, generate an acoustic model for the premises based at least on the plurality of acoustic samples and the verification that the sound anomaly is expected, receive data representing a detected sound during monitoring of the premises, compare the detected sound with the acoustic model for the premises to determine that the detected sound is unexpected, and initiate a premises security system alert based at least on the detected sound being unexpected.

Methods, systems, and apparatus for attempted entry detection are disclosed. A method for monitoring a property includes receiving, from a smart lock of a door located at a property monitored by a monitoring system, smart lock data that reflects a condition of the smart lock; receiving, from a sensor of the monitoring system, sensor data; analyzing the smart lock data and the sensor data; based on analyzing the smart lock data and the sensor data, determining that an attempted door entry is occurring; and in response to determining that an attempted door entry is occurring, performing a monitoring system action. Determining that an attempted door entry is occurring can include determining, based on the sensor data, that a person is located near the smart lock; and determining, based on analyzing the smart lock data, that the smart lock data satisfies criteria for an attempted door entry.

Various arrangements for sound generation based on remotely-enforced rules are presented. A rule definition for a rule may be received that defines a sound event to be remotely output in response to an occurrence of a home automation event. A home automation host system may monitor home automation data received from one or more home automation devices for the home automation event. In response to receiving home automation data indicative of the home automation event, the rule based on the rule definition may be executed. A sound execution message may be transmitted via a low-power wireless network to a sound generator, the message can include an identifier indicative of the sound.

Acoustic signals from an acoustic event are captured via sensing nodes of sensor group(s) that comprise a group of sensing nodes at a location comprising spatial boundaries. Each of the sensing nodes comprise a sensor area. Each of the sensor group(s) is based on: range limits of each of the sensing nodes; shared sensing areas of the sensing nodes; and intersections between the sensor area for each of the sensing nodes and the spatial boundaries. Solutions(s) are generated by processing the acoustic signals. The solution(s) indicate the location of the acoustic event. A strength of solution compliance value for at least one of the solution(s) is determined. A refined solution is generated employing: sensor contributions of sensing nodes; and the strength of solution compliance value with the spatial boundaries and at least one of the solution(s). A report is created comprising the location of the acoustic event.

Waveform emission location determination systems and associated methods are described. According to one aspect, a waveform emission location determination system includes a plurality of detectors configured to receive a waveform emitted by a source and to generate electrical signals corresponding to the waveform, processing circuitry configured to access data corresponding to the electrical signals generated by the detectors, use the data to determine a plurality of spheres, and wherein a surface of each of the spheres contains a location of the source when the waveform was emitted by the source, determine an intersection of the spheres, and use the intersection of the spheres to determine the location of the source when the waveform was emitted by the source.

Methods are disclosed that, in some aspects, provide for the determination of alarm events or non-alarm events based on data received from various sensors monitoring one or more entry points of a premises. Non-alarm events may, for example, include a seismic event or a knock event. Determining whether the data received from the various sensors is an alarm or non-alarm event may be based on data received from two or more sensors monitoring two or more entry points of the premises. Further, data related to the non-alarm event that occurred at the premise may be compared to data related to non-alarm events that occurred at other premises and, based on the comparison, one or more authorities may be alerted to the non-alarm event.

Devices, non-transitory computer-readable media and methods for providing a haptic signal based upon a detection of an object are disclosed. For example, the processor of a device may transmit a first ultrasonic signal via an ultrasonic emitter and detect an object based upon a receiving of a reflected signal via an ultrasonic detector, where the reflected signal comprises a reflection of the first ultrasonic signal from the object. The processor may further monitor for a second ultrasonic signal via the ultrasonic detector. The device may be associated with a user, and the second ultrasonic signal may be associated with a teammate of the user. The processor may also select whether to provide an instruction to a haptic actuator when the object is detected, based upon whether the second ultrasonic signal is received via the ultrasonic detector.

Examples are directed towards providing a set of hub devices for providing per-room monitoring of an area associated with a structure. A set of hub devices monitors movements of a user through the monitored area to generate user traffic data. A dynamic map of the monitored area is generated based on the user traffic data. The set of hub devices detects sounds occurring within the monitored area. The detected sounds are identified. Some of the detected sounds are amplified and replayed on speaker(s) within the monitored area. Notifications of some detected sounds are provided to user device(s) to notify at least one user of the occurrence of the detected sounds. If a detected sound indicates a safety issue, a safe route leading from a current location of the user to a different potentially safer location is generated and provided to the user to facilitate an evacuation.

A method for an automation system is described. In one embodiment, the method includes monitoring for detection of sound via a microphone on a security camera. The security camera is configured to generate an audio stream and a video stream and to transmit the audio and video streams via a transmitter associated with the security camera. Upon detecting sound via the microphone, the method includes determining whether the sound includes a human voice and, upon determining the sound includes the human voice, modifying at least one aspect of the audio or video streams of the security camera.

A technique for detecting the occurrence of an event, and for estimating other event-related information, by analyzing the barometric pressure in the vicinity of one or more wireless terminals. The disclosed detection technique is based on the recognition that the barometric sensor on various wireless terminals, such as smartphones, is capable of measuring very subtle changes in the atmospheric pressure. The disclosed detection technique is also based on the additional recognition of how some of the changes in the atmospheric pressure, as measured by a wireless terminal, correlate to various events that occur within a building or other defined area. For example, the disclosed technique can detect an entry door opening or closing by analyzing a resultant pressure wave having a particular transient that is perceptible by one or more wireless terminals in the area and analyzed by a detection engine.