Manuscript Detail

This study suggests a comprehensive IoT-enabled smart home automation system that smoothly combines several control modalities with sophisticated human presence detection in an era where intelligent living environments are becoming increasingly important. This hybrid system offers a flexible and user-friendly platform for controlling home appliances such as lights and fans using Wi-Fi, Bluetooth, infrared (IR) remote control, and manual interfaces. The system's integration of human presence sensors enables context-aware automation, which dynamically modifies the linked appliances' operating status depending on occupancy. The multi-control technique guarantees high accessibility to accommodate a range of user preferences and scenarios by enabling users to interact via phones, physical switches, infrared remotes, or automatic triggers. Without sacrificing comfort, the presence-based automation feature proved highly successful in reducing idle energy consumption. Additionally, scalability is facilitated by the modular architecture, making it simple to add further sensors or devices in subsequent developments. This study demonstrates how IoT technology and cognitive sensing can be combined to construct flexible, energy-efficient smart homes that put user autonomy and environmental responsibility first. The suggested framework lays the groundwork for future studies in machine learning integration and improved sensor fusion by providing a workable design for next-generation home automation systems to maximize automation and personalization.

Keywords:  IoT, Energy Efficiency, Human Presence Detection, Smart Home Automation, Multi-Control Interface