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Title:
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ProxiFan: A Sensor-Activated Electric Fan Using Arduino
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Author:
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Evrance G. Caracas, Kim Rod O. Veliganio , Leonisis Magallanes Asis, John Humphrey Cervantes , Anthony Abing, Recasis Ann G. Enguito , Dino L. Ilustrisimo, Ph.D.
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Keywords:
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IoT Automation, Smart Fan System, PIR Sensor, Arduino Microcontroller, Mobile App Integration, Agile Methodology, Expert Evaluation.
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Abstract:
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This study presents the design, development, and evaluation of ProxiFan, a sensor‑activated electric fan using Arduino technology. Traditional electric fans rely on manual operation, often leading to energy inefficiency and reduced user convenience. ProxiFan integrates a Passive Infrared (PIR) motion sensor, an Arduino Uno R4 WiFi microcontroller, relay modules, and a mobile application to automate fan operation based on human presence while allowing manual override and remote control. Guided by the Agile Development Life Cycle, the system underwent iterative design, implementation, and testing. Evaluation was conducted through expert assessment using ISO/IEC 25010 quality characteristics and usability criteria. Results indicate that ProxiFan demonstrates strong functional suitability, reliability and user satisfaction. The system provides an effective, low‑cost smart‑home solution for automated climate control.
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