Smart: Iot-based library seat availability using opencv and wireless microphone audio for noise detection system with mobile app and kiosk interface for tup manila library/ Jan Kathryn A. Abarca, Kuliet Balunsay, Lynjen A. Cabanig, Mary Grace O. Cerad, Adlwin R. Dionela, and Jessequel M. Nebit.--

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Abarca, Jan Kathryn A [author]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xv, 204pages: 29cmContent type:

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BTH TK 870 A23 2025

Dissertation note: College of Engineering.-- Bachelor of science in electronics engineering: Technological University of the Philippines, 2025. Summary: The SMART system is designed to enhance library resource management at Technological University of the Philippines Manila by automating seat availability detection and noise level monitoring. By integrating IoT technology, computer vision and AI, the system optimizes space utilization and improves the overall library experience. Using OpenCV, it processes real-time camera feeds to detect occupied and vacant seats with high accuracy, reducing reliance on manual inspections. A wireless microphone audio module captures ambient noise levels, ensuring a conducive study environment. The collected data is displayed on a user-friendly mobile application and an interactive kiosk, providing real-time seat and noise level updates for students and library administrators. The study employs IoT-enabled sensors, computer vision models, and cloud-based data processing to ensure a seamless and responsive system. By implementing this smart library solution, the study aims to enhance efficiency, improve student convenience, and create a more organized academic environment, contributing to the advancement of IoT-based library systems.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COE	TUP Manila Library	Thesis Section-2nd floor	BTH TK 870 A23 2025 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0006399

Bachelor's thesis

College of Engineering.-- Bachelor of science in electronics engineering: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

The SMART system is designed to enhance library resource management at Technological
University of the Philippines Manila by automating seat availability detection and noise level
monitoring. By integrating IoT technology, computer vision and AI, the system optimizes space
utilization and improves the overall library experience. Using OpenCV, it processes real-time camera
feeds to detect occupied and vacant seats with high accuracy, reducing reliance on manual inspections.
A wireless microphone audio module captures ambient noise levels, ensuring a conducive study
environment. The collected data is displayed on a user-friendly mobile application and an interactive
kiosk, providing real-time seat and noise level updates for students and library administrators.
The study employs IoT-enabled sensors, computer vision models, and cloud-based data processing
to ensure a seamless and responsive system. By implementing this smart library solution, the study
aims to enhance efficiency, improve student convenience, and create a more organized academic
environment, contributing to the advancement of IoT-based library systems.

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