Intelligent Living Space Control Using AI and Wireless Sensors

Priyanka R, Logesh K, Sugumar R, Suresh M

2024

Abstract

This project presents an AI-based smart home automation system and Bluetooth technology. The system integrates sensors, devices, and an Android app for remote operation. Machine learning algorithms optimize energy consumption. The system enhances comfort, user satisfaction, and promotes sustainable living. The concept of an intelligent living space integrates artificial intelligence (AI) and wireless sensor networks (WSNs) to create smart, adaptive environments that enhance comfort, energy efficiency, and security. This system employs AI-driven algorithms to interpret data from wireless sensors, enabling dynamic control of various household systems such as lighting, temperature, humidity, and security. The wireless sensors collect real-time data, including motion, environmental conditions, and user preferences, which is processed by a central AI module. The AI utilizes machine learning to analyse patterns, predict user behaviour, and optimize system responses Energy efficiency is a significant focus, with the system minimizing wastage by deactivating unused appliances and employing adaptive power management strategies. Key features include intelligent appliance control, remote monitoring, energy efficiency, and personalized experience.

Paper Citation

in Harvard Style

R P., K L., R S. and M S. (2024). Intelligent Living Space Control Using AI and Wireless Sensors. In Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES; ISBN 978-989-758-756-6, SciTePress, pages 130-134. DOI: 10.5220/0013636200004639

in Bibtex Style

@conference{ispes24,
author={Priyanka R and Logesh K and Sugumar R and Suresh M},
title={Intelligent Living Space Control Using AI and Wireless Sensors},
booktitle={Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES},
year={2024},
pages={130-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013636200004639},
isbn={978-989-758-756-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES
TI - Intelligent Living Space Control Using AI and Wireless Sensors
SN - 978-989-758-756-6
AU - R P.
AU - K L.
AU - R S.
AU - M S.
PY - 2024
SP - 130
EP - 134
DO - 10.5220/0013636200004639
PB - SciTePress