RM Shahriar Hoque | 2025 I.S. Symposium
狈补尘别:听RM Shahriar Hoque
罢颈迟濒别:听HomeOrbit: A Personalized and Adaptive IoT-Based Home Automation System
惭补箩辞谤:听Computer Science
础诲惫颈蝉辞谤蝉:听Sofia Visa; John Musgrave
Intelligent home automation systems have gained prominence with advancements in IoT technologies, yet many lack adaptability to individual user preferences. This thesis presents HomeOrbit, a modular smart-home prototype designed to address this gap through personalized automation. The system integrates an ESP32 microcontroller with environmental sensors (DHT11 for temperature/humidity, a photoresistor for ambient light) and actuators (LED indicators) to enable context-aware responses. A multi-layered software architecture employs MQTT for efficient data communication and a web-based GUI for real-time monitoring and manual control. While the current implementation utilizes rule-based logic (e.g., activating 鈥淐offee Mode鈥 under specific temperature/humidity thresholds), the framework explores future integration of machine learning for adaptive behavior. Key contributions include a scalable hardware design, sensor-actuator coordination, and a user-centric interface. The prototype demonstrates the feasibility of personalized automation and lays the groundwork for expanding IoT interoperability and extensibility.
Posted in Symposium 2025 on May 1, 2025.
