An aspect of the invention includes a fire and smoke detection system including a 360-degree camera, and a computing platform in communication with the 360-degree camera. The computing platform is configured to receive an image or video from the 360-degree camera, determine that tire or smoke is detected in the image or video received from the 360-degree camera, and venerate at least one alert in response to determining that fire or smoke is detected in the image or video received from the 360-degree camera. The fire and smoke detection system may be portable and not removably mounted.

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.

Disclosed herein are a method and apparatus for detecting a disaster based on images. The apparatus includes an image capture unit for capturing video using at least one camera and controlling the camera based on a camera control signal received from the outside; a disaster detection unit for generating a disaster log based on the video captured using the camera; a disaster analysis unit for calculating a disaster occurrence probability value based on the disaster log and determining whether to enter a camera control mode based on the disaster occurrence probability value; and a disaster alert unit for warning of a disaster based on a disaster alert request signal.

A smart home solution can help reduce fires in the home, such as in the kitchen, by permitting a user to see, on a portable electronic device, whether a stove was left on or if there is an unexpected elevated temperature on the kitchen stove. Such an unexpected elevated temperature may be detected if the stove if left on without a pan on the stove, if the contents of a pan has boiled out of a pan, or if the stove is on at certain hours of the day, such as at night. The solution can include motion detectors, audible alerts, voice alerts and optional shutdown mechanisms to remotely turn off a stove. The system can include further options, such as built in fire extinguishing materials, arm and disarm features, various mounting capabilities and the ability to interact with a digital assistant, such as Google Home, Alexa, or the like.

An optical-based fire detection system has a fire detecting mode in which the system is monitoring a flammable region for occurrence of fire in the flammable region and a system calibrating mode in which functionality of the system can be verified. The system comprises a light signal collecting unit located inside of the flammable region. The system also comprises a light signal processing unit located outside of the flammable region. The system further comprises a light signal calibrating unit located outside of the flammable region. The system also comprises one or more optical fiber bundles optically interconnecting the collecting unit, the processing unit, and the calibrating unit. The optical interconnections, when the fire detection system is in the fire detecting mode, enable the processing unit to receive at least one light signal from the collecting unit and to process one or more characteristics of the at least one light signal to determine if the at least one light signal is indicative of a fire in the flammable region. The optical interconnections, when the fire detection is in the system calibrating mode, enable the processing unit to receive at least one calibrating light signal from the calibrating unit and to process the at least one calibrating light signal to verify functionality of the collecting unit and thereby to verify functionality of the optical-based fire detection system.

The invention relates to an intelligent evacuation system and method used in a subway station fire. A fire alarm module discovers a fire and transmits fire information, a fire source positioning module positions a fire source according to the collected picture information and smoke information of the fire, an indoor pedestrian positioning module positions pedestrians in a subway station; a relay control module is connected with the fire alarm module, the fire source positioning module and the indoor pedestrian positioning module, and the relay control module combines fire information, fire source positioning information and pedestrian positioning information; and a master control module is connected with the relay control module, and the master control module plans a dynamic escape route for each pedestrian according to the combined information, pedestrian information collected by a subway APP and pedestrian information collected by a map management system, and generates an escape route guide map.

A cognitive load reducing platform comprises one or more sensors that collect information about an environment as sensor data. A processor is in communication with the one or more sensors, wherein the processor executes a cognitive enhancement engines that processes the sensor data into enhanced characterization data having a reduced amount of data compared to the sensor data. An output device electronically communicate the enhanced characterization data to a user such that the enhanced characterization data reduces the cognitive load of the user, wherein the sensor and the output device comprise an assisted perception module worn by the user during an incident. A command interface device remote from the user to enable a person of authority to manage the incident and the user by receiving and displaying the enhanced characterization data, and by transmitting data and commands back to the assisted perception module.

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.

A method for mitigating a potential security issue with one or more electric and gas cooking appliances equipped with a power interrupt circuit and capable of receiving a wireless signal operated in a monitored space includes conducting video and or audio surveillance of the cooking equipment and the surrounding monitored space using a surveillance device having wireless communications capability, where upon detection of anomaly characterized as motion, sound, or other interference that may be defined by the surveillance device as a security issue, conducting analysis of the data in comparison with archived data to disqualify or qualify the anomaly as a security issue, whereupon qualifying the anomaly detected and analyzed as a security threat, sending a wireless command to the power interrupt circuit to interrupt electric power flow to the one or more electric cooking appliances.

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.