Development of Fire Detection surveillance using machine learning & IoT

The internet of things (IOT) was developed to provide internet-based remote access, monitoring, and control of home equipment. When the Internet of Things is applied to the home, it transforms a simple home into a smart home that is safer and more automated. Now a day’s in Worldwide the use of advanced technology using smart automation is exponentially increasing in residential sector. One of the biggest worries for designers, property owners, and builders is the possibility of a fire. There have been individual sensors utilized to detect fire for a long time, but they are unable to determine the degree of fire and make emergency response teams aware. To address this issue, the fire department, medical services, and local police stations are all notified of the fire simultaneously, protecting valuable properties and lives. Algorithms for machine learning are used to interpret signals from integrated detectors, such as heat, smoke, and flame to determine the fire's potential and distributing the anticipated result via GSM modem and IoT technologies to numerous parties. Structured for quick edge detection has also been employed to condense and forecast output. The developed end product also has reduced false alerts, which makes the system more reliable.