Low Cost Smart House Implementation with Sensory Information Analysis and Face Recognition

2020

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DOI 10.1109/kst48564.2020.9059401
Data confidence 85 high
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Abstract

A smart house prototype is presented in this study with home automation, safety, person identification and automatic notifications. Home automation is implemented using light sensor and actuators in the house such as LEDs and servo motors (for window control). Safety system is implemented using gas, humidity, and human infrared sensors that collect the data from the environment. The system developed allows the users to control actuators remotely, view environmental sensor readings and real-time video streaming using user-friendly web and mobile applications. The readings of environmental sensors are analyzed on the server for gas and water leak and potential intrusion using gas, humidity and human infrared sensors. Furthermore, a face recognition system is also incorporated to the smart home prototype which identifies whether the person is a resident of the house or an unknown person. An automatic notification system which uses the Telegram Bot, notifies the user in case an unknown person enters the house or if the system detects emergencies. Telegram Bot also provides options to the user for further actions.