IoT based Smoke Detection with Air Temperature and Air Humidity; High Accuracy with Machine Learning

Abstract

In the present technologically advanced society, new innovations are being developed constantly. An ever-expanding network that constantly works to exchange and acquire information on the newest trends in the industrial IoT Platform is the source of these new developments in IoT communications-based projects. Home automation is a way to remotely or automatically control household equipment from the tip of your finger. The user will then be able to afford solutions, improve energy conservation, and make the best use of energy. The development of IoT home automation has been greatly aided by the detection of fire in this next technology. A sudden destructive event like fire has the potential to quickly spread, resulting in significant losses of both societal goods and human lives. Preventive actions are essential necessary since, in the event of a fire, prevention is always preferable to cure. This necessitates the need to develop a fire safety equipment in both home and workplace. More attention has been given to an IoT-based automatic smoke detection system to detect smoke in a room and even keep track of it. Additionally, it enables us to notify users and the Fire and Rescue Department when a gas sensor detects a particular amount of smoke. These smoke detectors can emit an audible and visual signal locally in a home smoke detector or smoke alarm, or they send a signal to a fire alarm control panel as part of a building's central fire alarm system. Utilizing an automatic smoke detection system. The Internet of Things (IoT) is used in this automatic smoke detection system to operate all the devices, and a Wi-Fi shield serves as a bridge to connect the devices to the network so that the data from the smoke sensor can be read. The smoke situation in a home that the user can access via the Favoriot platform is continuously monitored by this system.