Gesture based Intelligent Home Automation System using CNN Algorithm and Android Application

Abstract

The automatic and computerized control of household activities, features, and appliances is referred to as "home automation." It makes controlling home appliances simple. A network of hardware, communication, and electronic interfaces called home automation connects commonplace devices to one another over the Internet. It was previously implemented using Bluetooth, IR type of technologies but as its range was too limited GSM and WIFI technologies are preferred by people which are still used in existent system. Presently there are various methods like by giving instructions to Alexa we can control and monitor the appliance. We developed a system that consists of two methods to control home appliances. First is gesture based and second is by using an android application. The system focuses on real time image processing algorithm that can be used to detect, recognize gestures of hand and implement actions accordingly to control home appliances. CNN machine learning algorithm is implemented to detect gestures of hand to control home appliances and the system can also control the home appliances through virtual buttons using an android application. Through the system user can control home appliances using hand gestures and through virtual buttons using an android application.