Systems and methods for arming a security system are provided. Such systems and methods can include a control device of the security system that protects a monitored region with a plurality of sensors receiving user input while the security system is in a first arm mode, and responsive to the user input, the security system directly transitioning from the first arm mode to a second arm mode without switching to a disarm mode in between the first arm mode and the second arm mode.

Techniques for providing status information of a defined location are described. Data indicative of signal strength associated with radio frequency (RF) signals received by one or more devices communicating via a wireless communications protocol is accessed. A baseline signal strength profile based on the data is determined. The data indicative of signal strength associated with RF signals received by the one or more devices is monitored. Based on a comparison of the monitored data to the baseline signal strength profile, a presence of at least one person in a vicinity of the one or more devices is determined. At least one action based on the determined presence is initiated.

A magnetometer sensor that detects tampering is described. The sensor samples magnetometer data and computes a set of vectors based on the magnetometer data. The sensor detects a tampering of the magnetic sensor based on determining that the set of vectors is outside the reference plane for the magnetometer sensor. The sensor generates a notification to a security system coupled to the magnetometer sensor. The notification indicating the tampering of the magnetometer sensor.

Systems, methods, and software for determining whether or not a monitored space is occupied by one or more humans and/or animals. In some embodiments, one or more radio-frequency (RF) receivers monitor(s) one or more RF frequencies for changes in received signal strength that may be due to changes in occupancy of the space being monitored. The received signal strength is analyzed using nonparametric online change-point detection analysis to determine change-points in the received signal(s). One or more statistical measures of the received signal(s), such as mean and variance, are used in conjunction with the change-point detection to determine a probability that the occupancy of the monitored space has changed. In some embodiments, additional sensors and/or machine learning can be used to enhance the performance of the disclosed occupancy-detection methodologies.

In a general aspect, motion is detected using wireless signals. In one example, a wireless signal transmitted through a space from a first wireless communication device is received at a second wireless communication device. Dynamic beamforming information is based on the wireless signal. The second wireless communication device uses the dynamic beamforming information to detect motion in the space, or transmits the dynamic beamforming information to the first wireless communication device for use in detecting motion in the space.

In a general aspect, motion is detected using wireless signals. In one example, a wireless standard protocol message is transmitted by a wireless communication device through a space to one or more neighbor devices. A corresponding wireless standard protocol response including beamforming information feedback is received from each of the one or more neighbor devices in response to the wireless standard protocol message. Motion of an object in the space is detected based on the beamforming information feedback from each of the neighbor devices.

Method of detecting break-ins in an intrusion-detection barrier which comprises an array of sensors in signal communication with one another and connected to a control unit; said method comprising the steps of: calibrating at least one sensor of the array, detecting an external forcing having oscillation forcing frequencies applied to the intrusion-detection barrier, generating an alarm signal when the external forcing is detected; the method being characterized in that the step of calibrating comprises the sub-steps of: applying mechanical stress to said intrusion-detection barrier to cause said intrusion-detection barrier to resonate at its characteristic frequencies; creating a digital filter for the sensor configured to identify the characteristic frequencies; the step of detecting comprising the sub-steps of: applying the filter to identify the forcing frequencies applied to the intrusion-detection barrier, selecting at least one energy threshold value, calculating an energy value for each of the forcing frequencies, comparing each energy value with the energy threshold value, the step of generating the alarm signal comprising the sub-step of generating the alarm signal when at least one energy value is greater than the energy threshold value.

In a general aspect, a sensitivity setting is adjusted in a motion detection system. In some aspects, a user interface is provided by a motion detection system, and user input data is obtained through the user interface. A wireless communication link is identified based on the user input data; the wireless communication link is provided by a first wireless communication device and a second wireless communication device. Based on the user input data, a value is assigned to a sensitivity setting associated with the wireless communication link in the motion detection system. The motion detection system obtains data for motion detection based on wireless signals communicated through a space on the wireless communication link. Motion of an object in the space is detected based on the data and the value of the sensitivity setting.

A method for monitoring a physical area for unauthorized access by a user of a wireless device, includes scanning for signals from a wireless device, detecting a wireless signal from a wireless device, determining a wireless device ID associated with the wireless signal, determining whether the wireless device ID matches a wireless ID in an authorized or unauthorized ID list and in response to determining that the wireless device ID matches a wireless ID in the unauthorized wireless ID list, activate a security alert. The method may further include in response to determining, that the wireless device ID does not match a wireless ID in the authorized wireless ID list nor the unauthorized wireless ID list, receiving, signal strength information associated with the detected wireless signal for a predetermined time interval and determining a pattern as a function of time of the received signal strength.

According to some embodiments, a premise device for monitoring in a premises monitoring system is provided. The premises device comprises at least one switching element that is switchable between a first position and second position, an electromechanical switch that is triggerable to a closed position by a magnetic field, an alignment indicator configured to indicate the electromechanical switch is aligned for monitoring, a sensor, and a power element. In response to the at least one switching element being in the first position, the at least one switching element is configured to: electrically connect the alignment indicator and power element to the electromechanical switch, electrically disconnect the sensor from the electromechanical switch; and in response to the electromechanical switch being triggered to the closed position by the magnetic field, the alignment indicator is configured to emit visual, audio and/or haptic feedback based on alignment of the electromechanical switch for monitoring.