Devices, methods, and systems for a self-testing fire sensing device are described herein. One device includes an adjustable particle generator and a variable airflow generator configured to generate an aerosol density level, an optical scatter chamber configured to measure a rate at which the aerosol density level decreases after the aerosol density level has been generated, and a controller configured to compare the measured rate at which the aerosol density level decreases with a baseline rate, and determine whether the self-testing fire sensing device requires maintenance based on the comparison of the measured rate at which the aerosol density level decreases and the baseline rate.

An optoelectronic sensor for detecting objects in a monitored zone is provided, wherein the sensor comprises a laser scanner having a deflection unit rotatable about an axis of rotation for scanning the monitored zone with at least one scanning beam; a first distance measurement unit for determining 3D measurement points of the respective objects impacted by the scanning beam using a time-of-flight method; a panorama camera having a panorama optics and having an image sensor with a plurality of light reception elements for detecting picture elements; and a control and evaluation unit that is configured to fuse the 3D measurement points and the picture elements. In this respect, the optical axis of the panorama camera and the rotation axis coincide.

Systems and methods for adjusting a broadcast pattern of an intrusion detector are provided. Such systems and methods can include a microwave sensor of the intrusion detector broadcasting a detection signal into a secured area in the broadcast pattern, a communication module of the intrusion detector wirelessly receiving a signal adjustment command from a remote device, and a processor and executable control software of the intrusion detector parsing the signal adjustment command and instructing a signal adjuster of the intrusion detector to adjust a sensitivity of the microwave sensor or an amplitude of the detection signal to alter the broadcast area of the broadcast pattern based on information contained in the adjustment command.

Methods and a system for detecting physical intrusion are providing, including sampling a set of seismic signals from a vibration sensor of a buried sensor intrusion device, determining that the set of seismic signals matches a seismic threat pattern and responsively generating a seismic alert, recording a surveillance video of an area under which the sensor device has been buried, processing the surveillance video to determine whether a human figure is present and, responsively to determining that a human figure is present and to the generation of the seismic alert, issuing an threat detection alert.

Methods and a system for detecting physical intrusion are providing, including sampling a set of seismic signals from a vibration sensor of a buried sensor intrusion device, determining that the set of seismic signals matches a seismic threat pattern and responsively generating a seismic alert, recording a surveillance video of an area under which the sensor device has been buried, processing the surveillance video to determine whether a human figure is present and, responsively to determining that a human figure is present and to the generation of the seismic alert, issuing an threat detection alert.

A method for multiple sensor calibration and tracking, the method including identifying a non-permanent object in a first field of detection (FOD) of a sensor, wherein the sensor is one of a plurality of sensors positioned in various locations at a site, each sensor has a corresponding FOD; tracking the identified object by single-sensor tracking in the first FOD; predicting appearance of the object, and based on the predictions initiating single-sensor tracking in at least one other FOD where it is predicted that the object will appear; and outputting data captured from the tracked FODs.

In some embodiments, the present disclosure provides an exemplary system that includes radio frequency (RF) tags; positioned at locations throughout a roof; a tag reader configured to: generate reader RF signals at one or more frequencies to read the plurality of RF tags, and detect return RF signals from the plurality of RF tags; where the RF signals carry tag data comprising impedance values and tag identifiers; a processor of a computing device, programmed to receive the tag data; determine corresponding locations of the plurality of RF tags; and determine a wet state or dry state of the roof at one or more corresponding locations, and output an indicator of the wet state or the dry state of the roof at the one or more corresponding locations.

Earthquake detector is a solid-state device that detects the motion of a building or structure and initiates an alarm when the motion of a building or structure rises above a certain base level or threshold level of motion that is automatically calibrated or manually entered for the specific building or structure and the specific location of the building or structure. Earthquake detector measures the amplitude of movement and the magnitude of acceleration of the actual building or structure caused by a seismic event, earthquake, or other external force because this is the primary cause of damage to the building or structure and the associated potential for collapse of the building or structure. Earthquake detector has a circuit board; a microprocessor, integrated circuit, or chip; an accelerometer integrated circuit or chip; an alarm module; a connection to a power source; and a calibration control.

Earthquake detector is a solid-state device that detects the motion of a building or structure and initiates an alarm when the motion of a building or structure rises above a certain base level or threshold level of motion that is automatically calibrated or manually entered for the specific building or structure and the specific location of the building or structure. Earthquake detector measures the amplitude of movement and the magnitude of acceleration of the actual building or structure caused by a seismic event, earthquake, or other external force because this is the primary cause of damage to the building or structure and the associated potential for collapse of the building or structure. Earthquake detector has a circuit board; a microprocessor, integrated circuit, or chip; an accelerometer integrated circuit or chip; an alarm module; a connection to a power source; and a calibration control.

Systems, methods, and computer-readable media are presented herein for providing lower level physical-layer gateway functionalities and upper-level application functionalities; a system designed with flexible configurations in order to support a wide range of connected applications. The system includes a processor that executes machine instructions to perform operations. The operations comprise: receiving sensor data from a sensor device located in a building; converting the sensor data from a raw state to a physical measurement; and activating an abatement device situated in the building as a function of the physical measurement.