IoT based system for detection of gas leakage and house fire in smart kitchen environments

Abstract

The future holds a broader range of available technologies that will offer more innovative ways for solving everyday issues. By combining small processing units with artificial intelligence and machine learning, one can expand the horizon of new concepts and ideas to increase everyday safety. In this paper we have designed a cheap Internet of Things based system which enables the early detection of house fire and gas leaks. We are simulating a scenario where we detect the rising possibility of house fire in a kitchen environment, by measuring temperature and the gases concentration. To optimize the communication process and reduce the number of sent packets from the measuring node to the system gateway, we applied time series forecasting approach based on moving average prediction scheme.