A thermographic detector device for a fire alarm control system is described herein. In some examples, one or more embodiments include a thermography camera configured to capture a thermal image within a field of view of the thermographic detector device, a memory and a processor to execute instructions stored in the memory to detect a fault associated with the thermographic detector device, wherein the fault includes at least one of a field of view fault, an operating parameter fault, and an internal fault, generate a fault signal upon detecting the fault, and provide a notification of the fault using the fault signal.

A method includes accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

A flame detector system (10) includes a flame detector (10) and a plurality of targets (22). The flame detector includes a housing (30), a flame sensor (32), an imaging device (34) having an optical view (70) that correlates to the field of view (50), and a controller (24) in communication with the imaging device. The plurality of targets are disposed within the optical view. The controller is programmed to operate the imaging device to capture a first image of an external environment (26) containing the plurality of targets and store the first image and a location of the plurality of targets within the first image.

A smart fire detector according to the present invention includes a sensing unit configured to detect one or more fire elements, a controller configured to analyze sensing signals detected by the sensing unit to determine whether a fire has occurred and to output a fire signal upon determining one or more of the fire elements to be a fire, an imaging unit configured to take an image of an area in which the fire elements have been detected according to the fire signal and to extract an image and a picture of a high-definition snapshot from the taken image, and a notification unit configured to output a fire alarm and near fire escape route guidance sound according to the fire signal. Accordingly, the present invention can notify not only of a fire but also of a detected fire element for each type through analysis of a detected fire element.

Methods and systems including computer programs encoded on a computer storage medium, for receiving, for a multi-tenant dwelling unit (MDU), a map of the MDU, where the map includes locations corresponding to multiple sensors at the MDU and defines multiple sub-areas of the MDU, receiving sensor data from one or more sensors of the plurality of sensors, where the sensor data is indicative of a fire event at the MDU, determining, from the sensor data, one or more sub-areas of the multiple sub-areas included in the fire event, generating, based on the sensor data, a targeted fire event response for the one or more sub-areas of the multiple sub-areas of the MDU, and providing, to the one or more sub-areas of the multiple sub-areas, the targeted fire event response.

A control panel for a fire alarm control system is described herein. In some examples, one or more embodiments include a memory and a processor to execute instructions stored in the memory to receive a fault signal from a thermographic detector device, wherein the fault signal corresponds to a fault associated with the thermographic detector device, wherein the fault signal is associated with at least one of a field of view fault, an operating parameter fault, an internal fault, and a transmission fault, and provide a notification of the fault using the fault signal.

Embodiments relate generally to systems and methods for communicating data from a flame detector. A method may comprise detecting, by the flame detector, data related to a fire event; communicating, by the flame detector, the fire event data to a wireless device; forwarding, by the wireless device, the fire event data to a cloud database; accessing the fire event data, via the cloud database, by a central server controlled by an operator of the flame detector; analyzing, by the central server, the fire event data; automatically generating a report based on the analysis of the fire event data, by the central server; and communicating the generated report to a customer employing the flame detector.

A method and system for detecting sulfur fires that comprises a remote infrared or microwave sensor to detect sulfur dioxide gas and provide an unsupervised remote daytime and nighttime sulfur fire-watch, hot spot detection, early sulfur fire prevention, sulfur fire detection, or sulfur fire control of unattended combustible sulfur blocks, sulfur stockpiles, sulfur plants, or equipment using remote sensing devices that includes detection, measurement and analysis of electromagnetic radiation to determine the presence of sulfur dioxide gas.

A flame detector system (10) includes a flame detector (10) and a plurality of targets (22). The flame detector includes a housing (30), a flame sensor (32), an imaging device (34) having an optical view (70) that correlates to the field of view (50), and a controller (24) in communication with the imaging device. The plurality of targets are disposed within the optical view. The controller is programmed to operate the imaging device to capture a first image of an external environment (26) containing the plurality of targets and store the first image and a location of the plurality of targets within the first image.

A computer-implemented method, comprising: obtaining motion indicators for a plurality of samples of a video stream; obtaining an anomaly state for each of a plurality of time windows of the video stream, each of the time windows spanning a subset of the samples, by (i) obtaining estimated statistical parameters for the given time window based on measured statistical parameters characterizing the motion indicators for the samples in at least one time window of the video stream that precedes the given time window and (ii) determining the anomaly state for the given time window based on the plurality of motion indicators obtained for the samples in the given time window and the estimated statistical parameters; and processing the video stream based on the anomaly state for various ones of the time windows.