A system, wearable device and management device provided for predicting a flashover event. According to one aspect of the disclosure, a wearable device for predicting a flashover event is provided. The wearable device includes at least one thermal sensor configured to generate thermal data associated with an environment, and processing circuitry configured to: determine a risk of ignition of at least one combustible gas in the environment based on the thermal data, and trigger at least one action based on the determined risk of ignition.

In one aspect, data characterizing a video feed acquired by a camera oriented toward and including a field of view of a forecourt of a fueling station can be received. The video feed can be monitored for hazards, and the monitoring of the video feed can include performing automatic hazard detection on the video feed using at least one predictive model that predicts a presence of a hazard within the forecourt of the fueling station. A command can be transmitted in response to the detecting of the presence of the hazard within the forecourt of the fueling station. Related apparatus, systems, methods, techniques, and articles are also described.

A cigarette smoke alarm device for non-smoking space, including: a thermal image sensing unit, which includes an infrared sensing array for sensing a thermal image in a non-smoking space; and an image processing circuit coupled with the thermal image sensing unit to receive the thermal image, the image processing circuit including a control unit, a memory and a communication interface, and the control unit being coupled with the memory and the communication interface, where the memory is used to store the thermal image, and the control unit is used for performing a smoke image evaluation operation on the thermal image to generate a detection result of a smoking event, and transmitting a data signal representing the detection result to an external device through the communication interface.

The present disclosure provides a fire source detection method and device under the condition of a small sample size, and a storage medium, and belongs to the field of target detection and industrial deployment. The method includes the steps of acquiring fire source image data from an industrial site; constructing a fire source detection model; inputting the fire source image data to the fire source detection model, and analyzing the fire source image data via the fire source detection model to obtain a detection result, where the detection result includes a specific location, precision and type of a fire source. By means of the method, the problems of insufficient sample capacity and difficulty in training under the condition of a small sample size are solved, and different enhancement methods are used to greatly increase the number and quality of samples and improve the over-fitting ability of models.

A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data and infrared data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of models is 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, and a vegetation detection model can be applied to identify one or more areas of vegetation. An estimated distance can be determined between each of the areas of vegetation and the building 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 fire detection, localization and monitoring system for a vehicle compartment, in particular of an aircraft, includes a thermal imaging camera configured to provide thermal monitoring data on heat sources within a monitored area of the vehicle compartment; an optical camera configured to provide visual monitoring data of the monitored area; and a system control configured to analyze the thermal monitoring data and to determine temperature hot spots indicating a potential fire within the monitored area based on the analyzed thermal monitoring data. The system control is further configured to provide a visual indication of determined temperature hot spots within the visual monitoring data.

Aspects of the invention are directed towards a system and a method for determining a false alarm based on analysis of video/s. One or more embodiments of the invention describe the method comprising steps of receiving one or more pre-recorded videos, the one or more pre-recorded videos indicating a false alarm activation. One or more embodiments of the invention further describe steps of analyzing false alarm activation in the one or more pre-recorded videos and receiving a real-time video captured from a camera. Accordingly, the false alarm is determined in the real-time video based on the analysis of the false alarm activation in the one or more pre-recorded videos.

A system and computer software mechanism is disclosed that can automatically detect smoking conditions for industrial flares. In an online mode, the software mechanism can analyze live video images to identify smoking conditions and generate a “Smoke Level” value to represent the seriousness of the smoking events. In an off-line mode, the software mechanism can load saved video files and analyze video images to identify smoking conditions and generate a “Smoke Level” value to represent the seriousness of the smoking events. In the online mode, the Smoke Level data can be sent to the plant distributed control system (DCS) or other control devices so alarms can be generated and automatic or manual control actions can be taken quickly to stop the flare from smoking. In both online and off-line modes, Smoke Level data can also be saved in historical files for reporting and smoke event tracking purposes. Using the described system and software mechanism, industrial plants can comply with EPA regulations at all times, improve flare control and monitoring, be better prepared for EPA reporting and auditing, and save energy and manpower.

A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a thermal camera that is configured to generate a thermal image of the property. The monitoring system further includes a monitor control unit that is configured to receive, from the thermal camera, the thermal image. The monitor control unit is further configured to, based on the thermal image, determine a temperature of a portion of the property depicted in the thermal image. The monitor control unit is further configured to determine that the temperature of the portion of the property depicted in the thermal image satisfies a temperature threshold. The monitor control unit is further configured to, based on determining that the temperature of the portion of the property depicted in the thermal image satisfies the temperature threshold, select and perform a monitoring system action.

Virtual sensor technology, in which a camera is controlled to capture at least one configuration image of an area monitored by a monitoring system and input is received that defines one or more characteristics of the at least one configuration image that enable sensing of an event in the area. Based on the received input, configuration data used in sensing the event is generated and stored. After storage of the configuration data, the camera is controlled to capture one or more images of the area, the one or more images are analyzed based on the configuration data, and occurrence of the event is detected based on the analysis of the one or more images. Based on detecting occurrence of the event, a transmitting device is controlled to send, to a controller of the monitoring system, a signal that indicates the detection of the occurrence of the event.