Resumen
Fires kill and injure people, destroy residences, pollute the air, and cause economic loss. The damage of the fire can be reduced if we can detect the fire early and notify the firefighters as soon as possible. In this project, a novel Internet of Things (IoT)-based fire detector device is developed that automatically detects a fire, recognizes the object that is burning, finds out the class of fire extinguisher needed, and then sends notifications with location information to the user and the emergency responders smartphones within a second. This will help firefighters to arrive quickly with the correct fire extinguisher?thus, the spread of fire can be reduced. The device detects fire using a thermal camera and common objects using a red-green-blue (RGB) camera with a deep-learning-based algorithm. When a fire is detected, the device sends data using the Internet to a central server, and it then sends notifications to the smartphone apps. No smoke detector or fire alarm is available in the literature that can automatically suggest the class of fire extinguisher needed, and this research fills this gap. Prototypes of the fire detector device, the central server for the emergency responder?s station, and smartphone apps have been developed and tested successfully.