“Silenduino”: A Noise Detector with an Integrated Warning System for LPU – Manila’s Academic Resource Center using Arduino

Authors: Jamielyn Agliam, Renei Dominic Obinario, Anthonette Pariña, Arlene R. Caballero, and Erlito M. Albina

Issue: 2022


This paper proposes a noise detector called Silenduino to help maintain a peaceful environment in the library of Lyceum of the Philippines University-Manila. It comprises an Arduino-based device that senses sound levels on library tables and alerts librarians through an integrated mobile/web application when noises exceed set thresholds. Students are also notified via warning signals on table-mounted displays. The system architecture includes the noise sensor, WiFi/microcontroller modules, display screens and software components for data collection/visualization. Design aspects cover context diagrams, use cases, class structures, activity flows and database schema. Implementation utilizes Java, JavaScript, C++ and Firebase tools.

Quantitative testing was done through surveys answered by 36 students and library staff. Parameters assessed were functionality, reliability, usability, efficiency and maintainability. Analysis showed “very satisfied” ratings across all criteria with means of 4.7, 4.76, 4.78, 4.85 and 4.8 respectively. Respondents positively noted the system’s ability to execute required use cases, provide accurate output, handle errors, deliver notifications and enable customizations.

This study offers an effective solution for monitoring noise levels and fostering orderly student conduct in libraries. Its modular architecture also allows additional enhancements like anonymous reporting or contextual display messages. Limitations exist around capturing noise specifics like loud conversations. Further work should cover these while extending evaluation to more institutions. The system holds strong promise in enabling academic environments where focused learning can thrive.