The present invention relates to a system (1) and a corresponding method (400) for fire fighting of a room (101) comprising one or more fire locator devices (7) comprising an array sensor (19) having a grid (17) of sensor elements each; a controller (9) that associates each of the sensor elements of the array sensor (19) to at least one zone (210a-210e, 310a-310h); a plurality of controllable fire fighting devices (3a-3e) being arranged to selectively release a supply of fire extinguishing fluid to one of the plurality of zones (210a-210e, 310a-310h) upon activation by the controller (9).

A computer system in included in a system for providing wildfire evacuation support. The computer system operates to obtain sensor data that represents a wildfire in a target region from a UAV which is deployed within the target region, obtain a current location of an individual in a hazardous situation in the target region, and obtain a desired destination for the individual in the target region. Based on the sensor data, the computer device identifies one or more danger zones that pose a fire-related threat to the individual, and determines at least one evacuation path that extends from the current location to the desired destination while avoiding the one or more danger zones. The computer system may be located at the UAV or on a central computer resource in communication with the UAV.

A method of monitoring an antenna array comprises generating first image data at a first time. The first image data is reproducible as a first image of an antenna array unit. The method further comprises generating second image data at a second time. The second image data is reproducible as a second image of the antenna array unit. The method further comprises comparing the first image data and the second image data. The method further comprises transmitting an alert that is indicative of the presence of at least one with the antenna array unit at the second time. The alert is transmitted in response to the comparison between the first image data and the second image data indicating the presence of the at least one fault with the antenna array unit at the second time.

Novel methods and apparatus regarding electronic eyewear are disclosed. Different embodiments can be applicable for seniors. One embodiment includes an eyewear that can charge when placed in an eyewear case. A user can access a live operator by tapping a button at the eyewear. The live operator can connect the user to a person. The eyewear can detect falls. In another embodiment, the eyewear with a digital assistant can be voice activated, and can provide assistance via the digital assistant. In yet another embodiment, the eyewear includes a position identifying system to identify a position of the eyewear. In one embodiment, the eyewear could wirelessly interact with a device coupled to an apparatus in the vicinity of the eyewear.

A vehicle monitoring system configured to detect and localise an anomaly in or on a vehicle. The system includes a detector configured to detect an invisible indicator originating from or emitted by the anomaly and generate a detection signal associated with the invisible indicator, a camera configured to capture an image of the vehicle, and a controller configured to process the detection signal generated by the detector and the image of the vehicle captured by the camera. The controller is further configured to, based on processing of the image and the detection signal, generate a visualisation of the detection signal overlaid onto the image of the vehicle for localisation of the anomaly in or on the vehicle.

The monitoring device includes a captured image acquisition unit that captures a captured image of a monitoring target, a determination unit that determines a type of the monitoring target included in the captured image, an abnormality detection unit that detects an abnormality by applying the captured image to a monitoring model corresponding to the type of the monitoring target determined by the determination unit, the monitoring model being used to detect an abnormality related to the monitoring target included in the captured image, and an output unit that, when the abnormality is detected by the abnormality detection unit, performs an output related to detection of the abnormality. With such a configuration, it is possible to detect an abnormality using the monitoring model corresponding to the type of the monitoring target included in the captured image, and it is possible to perform abnormality detection according to the actually captured monitoring target.

A method of detecting a small area wildfire is described. The method includes: (i) receiving, at a processor, an electronic map of an area of interest; (ii) receiving, at the processor from a satellite, location information for a high-altitude balloon disposed above the area of interest; (iii) determining, using the processor and based one or more different types of sensor data that is received from one or more different types of sensors on the high-altitude balloon and the high-altitude balloon location, one or more wildfire locations; (iv) embedding each of the wildfire locations on the electronic map to produce a fire activity map; and (v) causing to display or displaying the fire activity map including the wildfire locations within the area of interest.

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.

The present invention relates to methods and apparatus for detection of fire states in the presence of welding activities. In some examples, the welding detection system may algorithmically calculate a risk of a fire state developing. In some embodiments, the welding fire detection and prevention system may communicate warning states to users, supervisors, equipment and/or building monitoring systems.

The present invention relates to a fire pre-detection device and, particularly, to a fire pre-detection device for pre-detecting a fire on the basis of the difference between a temperature of a thermal image acquired by a thermal imaging camera and a temperature of a differential thermal image, and finally detecting the fire by using a flame detector. The fire pre-detection device according to the present invention can pre-detect a fire sign or a fire through a thermal image and finally detect the fire through the flame detector, so as to pre-detect a fire and more clearly detect the occurrence of a fire.