Design and Implementation of a Smart fire detection and monitoring system based on IoT

Due to the increase of fire accidents that may cause loss of human lives and property damage, there is a crucial need to a robust system that enables real-time monitoring and early detection of fires. Developing such system became feasible with the emergence of internet of things (IoT) paradigms. In fact, IoT, used extensively in many fields, permits the interaction between the virtual and physical world through allowing "Things" to connect to the internet. Through using IoT sensors, we propose a complete low-cost design and implementation of a smart system that enables monitoring and collecting data (temperature, humidity, smoke, number of people in the fireplace) in real time. Our proposed system allows user to monitor the building’s status remotely via a friendly dashboard that provides the data of all the parameters in a single page. Whenever a collected parameter crosses its threshold, a buzzer, a red light, and a message sent to the mobile phone alerts the homeowner. So that, he can immediately contact the authority or firefighters to come instantly. One significant advantage of our system is that it counts the number of people present in the fire scene, which will facilitate the evacuation process. Our system has been successfully tested under different scenarios and as a future work we can suggest adding image processing scheme by adding a camera and analyzing real time data collected from sensors using Artificial Intelligence techniques (such as machine learning and deep learning).