Intelligent Automation System for Energy Conservation Using IoT and Machine Learning
BasavarajappaMohana Kumar, Sundarrajan Ramalingam, S. Viveka, V.G Vigneshwar, N. Sivasubramaniam, José María · 2023
People's busy and comfortable lifestyles in our technological era have enabled communication technology to advance to the point where any information may be accessed from anywhere in the world. Technological revolutions such as the Internet of Things and machine learning have grown in popularity in recent years due to the benefits they represent in a variety of domains of expertise. It is worth noting that implementing these two technologies encourages the development of more and better-automated systems of control in the home automation area that adapt to the preferences of each user. Many instances occur at establishments as a result of negligence and forgetfulness, when electrical equipment is left on even when there is no human presence in the room. This is one of the most prominent examples of societal electrical waste. As a result, a smart system that ensures both efficacy and efficiency must be implemented. To solve this issue, a privacy-preserving and safe identification and verification methodology for Home Automation Systems that leverages strong current technologies such as IoT, Machine Learning (ML), and Image Processing are proposed. It additionally makes utilization of more efficient image processing technologies than IR sensor-based systems for home automation. The ML Algorithm is responsible for recognizing people in each frame captured by the camera. A robust machine learning system capable of accurately distinguishing diverse environmental variables and human activities is designed to manage challenging situations.