HOME FIRE DETECTION NOTIFICATION SYSTEM USING IoT AND TELEGRAM BOT

Abstract

Fire outbreak has been known as the major tragedy that causes destruction, loss of life and property. Currently, many cases involving fire have happened in Malaysia because house owners were unable to detect the initial cause of the fire. To overcome the problem, we design and develop a low-cost home fire detection system using Raspberry Pi that detects the sense of fire, smoke or gas leakage and then, notify the house owner’s and people nearby using a Telegram Bot through a mobile phone by sending the coordinate of fire location. The system utilizes the System Development Life Cycle (SDLC) by implementing the waterfall model as the methodology. Three experiments were conducted to evaluate the effectiveness of the system which is sensor detection range, response time and user acceptance testing. The findings indicated that the system has a positive impact and to be well accepted by users, efficient, effective, low-cost and easy to use.