With the introduction of “smart homes” and the integration of automation systems to control a given space’s functioning, we see an evolving need to optimize the integrated automation systems to meet the intelligence and controllability level of the client. The most appealing automation systems are the ones based on power usage and control. Current systems available in the market for automating electric switches are primarily based on either infrared or proximity sensors, which are either inefficient or expensive in more extensive system settings. Our proposed system uses image processing to control switches of electrical appliances in the room. Our system first captures the images of the room and further processes it before applying the Tiny Faces Algorithm on it, which will determine the positions of the individuals present in the room. Using this obtained data will generate control signals to the raspberry pi, which will further trigger the relay circuit, thus triggering an automatic ‘switching ON’ of the electrical appliance connected to this system. The result of the proposed system is nearly 92% accuracy. This simple, efficient, and cheaper system helps to optimize the power consumption of the house and helps to save energy.

Keywords : Image Processing, Home Automation, Face Detection, Tiny Faces algorithm, Raspberry pi.