There is provided a method for determining presence of a person comprising a) receiving IR sensor data (50) during a first time period from a thermopile and using the IR sensor data to determine an IR background signal baseline (51) for the time period, and determining a variability of the IR sensor data (50), b) using the IR background signal baseline (51) and the variability of the IR background signal level to determine a threshold (52) with a value higher than the background signal baseline (51), and in such a way so that greater variability in the IR background signal (50) results in a higher threshold (52), then c) receiving further IR sensor data (50) during a second time period, which is after the first time period, and using the further IR sensor data (50), and the threshold (52) determined in step b) to determine that a person is present when the further IR sensor data (50) comprises a value that is higher than the threshold.

There is provided a method for determining presence of a person comprising a) receiving IR sensor data (50) during a first time period from a thermopile and using the IR sensor data to determine an IR background signal baseline (51) for the time period, and determining a variability of the IR sensor data (50), b) using the IR background signal baseline (51) and the variability of the IR background signal level to determine a threshold (52) with a value higher than the background signal baseline (51), and in such a way so that greater variability in the IR background signal (50) results in a higher threshold (52), then c) receiving further IR sensor data (50) during a second time period, which is after the first time period, and using the further IR sensor data (50), and the threshold (52) determined in step b) to determine that a person is present when the further IR sensor data (50) comprises a value that is higher than the threshold.

A method of operating a sensing component for sensing a magnetic field to determine a state of an access point having a first component and a second component that are separable from each other to create an opening and wherein a magnet is mounted on one of the first or second components of the access point, wherein the method comprises: operating the sensing component to sense a magnetic field in multiple dimensions to produce a sample representation of the sensed magnetic field, wherein the sample representation is a multi-dimensional representation and determining whether the sample representation is in a pre-determined region about a reference representation that is representative of a state of an access point to determine that the sensed magnetic field corresponds to said state of the access point, wherein the pre-determined region comprises a circular cross-section.

A method of operating a sensing component for sensing a magnetic field to determine a state of an access point having a first component and a second component that are separable from each other to create an opening and wherein a magnet is mounted on one of the first or second components of the access point, wherein the method comprises: operating the sensing component to sense a magnetic field in multiple dimensions to produce a sample representation of the sensed magnetic field, wherein the sample representation is a multi-dimensional representation and determining whether the sample representation is in a pre-determined region about a reference representation that is representative of a state of an access point to determine that the sensed magnetic field corresponds to said state of the access point, wherein the pre-determined region comprises a circular cross-section.

A wall-mounted credential reader device according to one embodiment is adapted to be secured to a wall of a building and includes a credential reader adapted to receive credential data from credential devices presented to the wall-mounted credential reader device, an inertial sensor that generates sensor data indicative of an acceleration of the wall-mounted credential reader device, a processor, and a memory including a plurality of instructions stored thereon that, in response to execution by the processor, causes the wall-mounted credential reader device to receive sensor data generated by the inertial sensor, compare the received sensor data to reference data indicative of an acceleration of the wall-mounted credential reader device when the wall-mounted credential reader device is not moving, and generate a tamper alert in response to the comparison indicating that a deviation of the received sensor data from the reference data exceeds a threshold.

A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a passive infrared (PIR) sensor configured to generate reference PIR data that represents motion within an area of the property; an auxiliary sensor configured to generate auxiliary sensor data that represents an attribute of the area of the property; and a motion sensor device. The motion sensor device is configured to: obtain the reference PIR data; determine that a first set of motion detection criteria is satisfied by the reference PIR data; in response to determining that the first set of motion detection criteria is satisfied by the reference PIR data, obtain the auxiliary sensor data; obtain a second set of motion detection criteria based on the reference PIR data and the auxiliary sensor data; and determine whether the second set of motion detection criteria is satisfied by additional PIR data.

Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.

Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.

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.