Dreo, Vince Angelo R.

Intelligent home using voice recognition and iot with power saving and security controls/ Vince Angelo R. Dreo, Rex Daivid L. Flores, Francis Angel C. Galapon, Sebastian Austin D. Suela, and Justine Reige G. Perez.-- - Manila: Technological University of the Philippines, 2024. - xi, 123pages: 29cm.

Bachelor's thesis

College of Industrial Education.--

Includes bibliographic references and index.

The growing demand for efficient and accessible smart home solutions has driven the
development of an innovative system integrating convenience, security, and energy
efficiency. Despite the advantages of smart home technologies, barriers such as privacy
concerns, high costs, complexity, trust issues, and energy inefficiency hinder their
widespread adoption. This study aims to address these challenges by developing a smart
home extension system that combines voice recognition, IoT technology, and energy
monitoring to enhance user control and sustainability. The system employs an ESP32
microcontroller for seamless device communication, an IoT framework for remote
access, and a PZEM-004T sensor for real-time energy monitoring. Users can control
appliances through voice commands, manual switches, or a mobile application, with
additional features such as scheduling, overload protection, and secure logins. A
dedicated mobile app ensures user-friendly interaction, while an electromagnetic
contactor enhances stability for high-power appliances. By providing real-time energy
consumption data, the system enables users to optimize power usage, aligning with the
United Nations Sustainable Development Goals (SDG 7 - Affordable and Clean Energy,
SDG 12 - Responsible Consumption and Production). Furthermore, it adheres to ISO
25010 software quality standards, ensuring reliability, usability, and functionality. System
evaluation yielded an "Excellent" rating, achieving a mean score of 4.58 on a 5-point
Likert scale. These results highlight the system’s effectiveness in improving energy
efficiency, security, and convenience, contributing to the advancement of smart home
automation and sustainable living.


Smart home
ESP32
Sustainability

BTH QA 76.9 / D74 2024