Transforming Climate Control with AI and Image Processing for Energy Efficient Smart Homes and Industrial Environments

İngilizce (OpenAlex)

This research presents an intelligent climate control system using artificial intelligence (AI) and image processing to enhance energy efficiency and user comfort in smart homes and industrial settings. By integrating You Only Look Once (YOLO)-based human detection and facial recognition algorithms, the system dynamically adjusts Heating, Ventilation, and Air Conditioning (HVAC) settings based on user presence and preferences. Experimental results showed 95% accuracy in human detection and 94% in facial recognition, ensuring reliability under various conditions. Energy savings of 30% were achieved by activating energy-saving modes during inactivity. User feedback highlighted ease of use and adaptability. While designed for smart homes, the system can also optimize HVAC settings in industrial environments, contributing to sustainable energy practices. Despite challenges such as low-light sensitivity and scalability, the proposed system demonstrates AI’s role in energy-efficient, user-focused automation. This work lays the foundation for smart home technology, advancing sustainable and personalized solutions while reducing costs and improving efficiency.