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.--

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Dreo, Vince Angelo R [author]

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TextPublication details: Manila: Technological University of the Philippines, 2024.Description: xi, 123pages: 29cmContent type:

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BTH QA 76.9 D74 2024

Dissertation note: College of Industrial Education.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2024. Summary: 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.

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Item type	Current library	Shelving location	Call number	Status	Date due	Barcode
Bachelor's Thesis CIT	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76.9 D74 2024 (Browse shelf(Opens below))	Not for loan		BTH0006582

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Bachelor's thesis

College of Industrial Education.-- Bachelor of engineering technology major in computer engineering technology: Technological University of the Philippines, 2024.

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.

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