Integrating Embedded Systems and Control Theory for Energy-Efficient Smart Homes with Dual Sensitivity Motion Detection

This study delved into the development of a cost-effective, intelligent energy management and control system to address the pressing issues of energy wastage and rising electricity costs in developing countries, with a focus on Nigerian households and businesses. The problem stems from inefficient and underutilized energy distribution systems, which lead to excessive consumption and financial strain. To mitigate these challenges, the study introduces a smart solution that leverages dual-sensitivity motion sensors and embedded systems to regulate energy usage in real time based on environmental occupancy. The methodology involves the integration of hardware and software components, including an Arduino-based microcontroller, dual motion sensors, relay switches, and a Real-Time Clock (RTC) module. The system dynamically switches between high and low sensitivity modes—high during daytime for active responsiveness and low at night to prevent false triggers—ensuring appliances operate only when necessary. Environmental simulations and controlled testing were conducted to validate performance and reliability. The proposed solution offers a scalable, adaptable, and affordable approach to smart energy management, balancing user comfort with significant energy savings. By automating appliance control and optimizing power consumption based on human presence, the system enhances sustainability and economic efficiency. It also contributes to the advancement of smart home technologies and presents a viable pathway for widespread implementation in resource-constrained environments.