Smart Home Automation using Computer Vision and Segmented Image Processing

The objective of this paper is to develop a smart IoT based light control system. Due to negligence and forgetfulness, many instances occur in establishments where the electrical appliances are left turned on even if there no human presence in a room. This is one of the most prominent cases of electricity wastage prevalent in society. Hence there is a need for an intelligent system that can ensure both efficiency and effectiveness. This project combines IoT, Artificial Intelligence and Image Processing which are powerful modern technologies. In this system, object detection methods are used which enable us to control appliances in a specific spatial region. It also uses image processing methods which are more efficient than conventional IR blaster-based home automation systems. conventional IR blasters inevitably come with a fallacy where any and all objects that obstruct the infrared ray trigger whatever response the system was programmed to achieve. These actions that are only meant for actual human beings can now be activated by any object. This produces an undesired result. This paper proposes a system which can efficiently utilize the lighting output and minimize the wastage of electricity by controlling the electrical appliances by detecting changes in the position of the humans in the room.