It is provided a method for controlling operational state of a sensor device for break-in detection. The method is performed in the sensor device and comprises the steps of: determining, while in a low-power state, that a wake-up condition is true when a vibration measurement associated with a barrier is greater than a wake-up threshold; transitioning, when the wake-up condition is true, to an active state; determining, while in the active state, when an activity condition is true, the activity condition being based on vibration measurements associated with the barrier; increasing the wake-up threshold, and transitioning to the low-power state when the activity condition is not determined to be true within a first duration while in the active state; and decreasing the wake-up threshold, when the sensor device stays in low-power state longer than a second duration.

It is provided a method for controlling operational state of a sensor device for break-in detection. The method is performed in the sensor device and comprises the steps of: determining, while in a low-power state, that a wake-up condition is true when a vibration measurement associated with a barrier is greater than a wake-up threshold; transitioning, when the wake-up condition is true, to an active state; determining, while in the active state, when an activity condition is true, the activity condition being based on vibration measurements associated with the barrier; increasing the wake-up threshold, and transitioning to the low-power state when the activity condition is not determined to be true within a first duration while in the active state; and decreasing the wake-up threshold, when the sensor device stays in low-power state longer than a second duration.

A method for monitoring devices based at least in part on detected conditions includes accumulating, by one or more sensory nodes, sensed information in an area that includes a controllable device. The method also includes analyzing the sensed information to identify historical information regarding the area that includes the controllable device. The method also includes sensing a condition within the area by the one or more sensory nodes. The method also includes determining, based at least in part on the sensed condition and at least in part on the historical information, that the sensed condition relates to the controllable device. The method further includes generating, responsive to said determining, an alert regarding the controllable device.

A method for monitoring devices based at least in part on detected conditions includes accumulating, by one or more sensory nodes, sensed information in an area that includes a controllable device. The method also includes analyzing the sensed information to identify historical information regarding the area that includes the controllable device. The method also includes sensing a condition within the area by the one or more sensory nodes. The method also includes determining, based at least in part on the sensed condition and at least in part on the historical information, that the sensed condition relates to the controllable device. The method further includes generating, responsive to said determining, an alert regarding the controllable device.

Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system are provided. Such systems and methods can include a learning module receiving the alarm signal and additional information associated with the alarm signal, using the false alarm predicting model to process a combination of the alarm signal and the additional information to determine whether the combination represents a false alarm or a valid alarm, and transmitting a status signal indicative of whether the combination represents the false alarm or the valid alarm to an automated dispatcher module, and the automated dispatcher module using the status signal to automatically determine whether to alert the user and/or the relevant authorities about the alarm signal.

Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system are provided. Such systems and methods can include a learning module receiving the alarm signal and additional information associated with the alarm signal, using the false alarm predicting model to process a combination of the alarm signal and the additional information to determine whether the combination represents a false alarm or a valid alarm, and transmitting a status signal indicative of whether the combination represents the false alarm or the valid alarm to an automated dispatcher module, and the automated dispatcher module using the status signal to automatically determine whether to alert the user and/or the relevant authorities about the alarm signal.

There is provided a smoke detector including a light source, a reflective surface, a light sensor and a processor. The light sensor receives reflected light when the light source emits light toward the reflective surface, and generates a reference detection signal when there is no smoke. The processor receives the detection signal from the light sensor, and automatically selects a set of predetermined condition thresholds according to a profile of the detection signal to be compared with the detection signal thereby determining whether to generate an alarm according to the comparison result.

In some instances, a fall detection system comprising a first fall detection device and a user device is provided. The fall detection device is configured to: detect an occurrence of a fall event associated with an individual based on sensor information from the one or more sensors and a fall detection model; and provide a first indication indicating the occurrence of the fall event. The user device is configured to: receive the first indication; cause display of a prompt requesting user feedback as to whether the individual fell based on the first indication and a second indication from a second fall detection device; provide update information indicating for the first fall detection device to update the fall detection model based on the user feedback; and provide user fall information associated with the occurrence of the fall event based on the user feedback.

In some instances, a fall detection system comprising a first fall detection device and a user device is provided. The fall detection device is configured to: detect an occurrence of a fall event associated with an individual based on sensor information from the one or more sensors and a fall detection model; and provide a first indication indicating the occurrence of the fall event. The user device is configured to: receive the first indication; cause display of a prompt requesting user feedback as to whether the individual fell based on the first indication and a second indication from a second fall detection device; provide update information indicating for the first fall detection device to update the fall detection model based on the user feedback; and provide user fall information associated with the occurrence of the fall event based on the user feedback.

A detection system including a smoke detector configured to transmit a detector baseline signal to at least one of a control panel and a server (e.g., to establish at least one indoor air quality trend), and a method for monitoring indoor air quality with at least one smoke detector are provided. The smoke detector includes a processor configured determine whether a current condition indicates a need to trigger an alarm. The smoke detector is configured to measure a baseline. The detector baseline signal is used (e.g., by the control panel and/or the server) to establish at least one indoor air quality (IAQ) trend.