A method of detecting a flame in an image comprising the step of acquiring a series of infrared images from an infrared imager. Image flow vectors are calculated for each of the series of infrared images and stored in a corresponding 2D vector array. At least one 3D image flow data set is generated from the corresponding 2D vector arrays. A 2D pixel intensity array is generated for each of the series of infrared images. A 3D pixel intensity data set is generated from the 2D pixel intensity arrays. A Fourier Transform and infrared metrics are calculated. The infrared metrics are compared to an infrared threshold criteria. A corresponding 2D threshold array for each of the series of infrared images is generated. A 3D threshold data set is generated from the 2D threshold arrays. A flame status is determined based on the 3D threshold data set.

Provided are a forest fire detection system and method capable of determining whether events. The forest fire detection system includes an artificial intelligence-based forest fire detection module configured to detect a forest fire from a captured image using an artificial intelligence model; a monitoring camera configured to monitor a predetermined area; a direction estimation module configured to estimate a direction of the forest fire on a map, using a plurality of forest fire detection images provided from the artificial intelligence-based forest fire detection module and data of the monitoring camera; and a same event determination module configured to determine whether events represented by the plurality of forest fire detection images are the same, based on the estimated direction of the forest fire.

A gas detection device that gives a notification of a detected gas on the basis of a captured image obtained by capturing an image of a monitoring target, the gas detection device including: a gas detection unit that detects gas on the basis of the captured image and gives a notification of the detected gas; an input unit that receives input information from a user; a mask candidate region extraction unit that extracts a mask candidate region that is a candidate region of a mask region for which a notification of gas detection is suppressed; and a mask generation unit that generates mask data indicating the mask region, in which the gas detection unit gives a notification of a gas detected outside the mask region, and the mask generation unit generates, as the mask data, a region in which first mask candidate region information input from the input unit matches second mask candidate region information extracted by the mask candidate region extraction unit.

Embodiments of the disclosure include systems and methods for detection of background and foreground radiances captured by a multispectral imaging device. In some embodiments, a multispectral imaging device may generate a plurality of images of the same field of view, wherein the images may be captured at a variety of wavelengths. These images may be processed to identify any incidents, such as fire and/or gas leaks, within the field of view of the imaging device.

An apparatus, operations controller and methods for controlling unmanned aerial vehicles for detection, prevention and suppression of fires in a designated zone are presented. Monitored information is received and analyzed to detect a presence of a fire event or a fire risk in the designated zone. A cargo unmanned aerial vehicle is directed to a vicinity of the fire event or the fire risk and instructed to deploy a fire retardant or a fire suppressant at a location of the fire event or the fire risk, if the presence of the fire event or the fire risk is detected.

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.

The present disclosure discloses a smoke detection system and a smoke detection method. The smoke detection system includes a camera, a storage unit, and a processor. The camera acquires a current image and a previous image. The storage unit stores a plurality of modules. The processor is coupled with the camera and executes the plurality of modules. The processor generates a difference image based on the current image and the previous image. The processor inputs the current image and the difference image to a semantic segmentation model so that the semantic segmentation model outputs a smoke confidence map. The smoke confidence map is generated based on whether a current environment is a dark environment or a bright environment. The processor analyzes the smoke confidence map to determine whether a smoke event occurs in the current image. Therefore, a reliable smoke detection function can be achieved.

A system for monitoring event related data including a sensor data analyzer, an event analyzer and an actuator is disclosed. The sensor data analyzer detects events based on sensor data, the event analyzer couples to the sensor data analyzer and estimates the size of the detected entire events based on event related data of the detected events from the sensor data analyzer, and the actuator couples to the sensor data analyzer and the event analyzer and actuates a predetermined device based on the estimated size of the detected entire events.

Provided is a system for detecting flame, which includes a light collecting module configured to collect light emitted from flame and sense location information and intensity information of the collected light, a memory configured to store a program for determining fire information on the basis of the sensed location information and intensity information of the light, and a processor configured to calculate intensity information and fluttering information of the flame from the intensity information of the light by executing the program stored in the memory, to calculate centroid spatial distribution information of the flame from the location information of the light, and to detect whether there is flame on the basis of at least one of the intensity information of the flame, the fluttering information of the flame, and the centroid spatial distribution information.

Provided is an information provision system capable of reducing secondary damage in the case of a disaster. The information provision system includes: a vehicle; and an information provision apparatus communicatively connected to the vehicle and configured to provide information to the vehicle. The information provision apparatus includes an acquirer that acquires fire-related information indicating information about fire, a fire detector that detects an occurrence of fire based on the fire-related information, and a fire information generator that generates, in response to the detection of the occurrence of fire by the fire detector, fire avoidance information for avoiding the fire, and transmits the fire avoidance information to the vehicle. The vehicle includes an information receiver that receives the fire avoidance information, and a display controller that causes a display to display the fire avoidance information.