Next-Gen Smart Win-Curtain: A Real-Time IoT and Fuzzy-Based Implementation for Future Homes

Residential and commercial buildings remain highly dependent on manually operated or fixed window curtains, leading to inefficient daylight utilization, increased artificial lighting consumption, and compromised indoor comfort. In practical smart home deployments, most automated curtain solutions rely on limited sensing or user-driven control, which restricts their adaptability in changing indoor conditions. To address these limitations, the proposed system adaptively regulates curtain position and indoor lighting using fuzzy logic and ZigBee based wireless communication. The system continuously monitors indoor conditions through multiple environmental sensors measuring ambient light, occupancy, temperature, and air quality. A Mamdani-type fuzzy inference engine implemented on embedded microcontrollers processes the sensor data and generates smooth control actions for curtain and lighting adjustment. Experimental evaluation using a hardware prototype demonstrates fast system response and stable operation under varying daylight conditions. The results show that the proposed approach can reduce artificial lighting energy consumption by up to 40% during daytime operation while maintaining occupant comfort and indoor environmental quality. The developed smart win-curtain system offers a practical and scalable solution for intelligent and sustainable smart home automation.