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Low-cost ESP32-based sound data acquisition system with MATLAB integration for real-time noise monitoring.

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Title: Low-cost ESP32-based sound data acquisition system with MATLAB integration for real-time noise monitoring.
Authors: Macapanas, Reymark-John A.1 reymarkjohn.macapanas@ustp.edu.ph, Galido, Adrian P.2 adrian.galido@g.msuiit.edu.ph, Alce, Apple Rose B.3 applerose.alce@g.msuiit.edu.ph
Source: Telkomnika. Apr2026, Vol. 24 Issue 2, p599-607. 9p.
Subjects: Noise measurement, Microcontrollers, Microphones, Data disk drives, Data recorders & recording, Environmental monitoring, Electronic equipment design
Abstract: This study presents the design and implementation of a low-cost ESP32-based sound data acquisition system (SDAS) for real-time noise monitoring. The system integrates a micro-electro-mechanical systems (MEMS) microphone for accurate acoustic data capture, an ESP-WROOM-32 microcontroller for signal processing and wireless data transmission, and MATLAB for real-time visualization and analysis. Designed and simulated in KiCAD 8.0, the SDAS includes a microSD module for local data backup and offline analysis. The system was tested in four indoor locations within Mindanao State University - Iligan Institute of Technology, recording mean noise levels ranging from 14.2 dB in laboratory environments to 32.1 dB in classrooms, with corresponding standard deviations of 1.2-7.0 dB. Expert evaluation from eight assessors confirmed the system's usability, data reliability, and robustness. The system demonstrates effective monitoring for both quiet and dynamic settings. Limitations include single-node configuration, indoor-only testing, and MATLAB-based USB data transfer. Despite these, the proposed SDAS provides a scalable and reproducible model for smart campus and urban environmental monitoring, supporting sustainable development goals (SDG) 3, 9, and 11. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This study presents the design and implementation of a low-cost ESP32-based sound data acquisition system (SDAS) for real-time noise monitoring. The system integrates a micro-electro-mechanical systems (MEMS) microphone for accurate acoustic data capture, an ESP-WROOM-32 microcontroller for signal processing and wireless data transmission, and MATLAB for real-time visualization and analysis. Designed and simulated in KiCAD 8.0, the SDAS includes a microSD module for local data backup and offline analysis. The system was tested in four indoor locations within Mindanao State University - Iligan Institute of Technology, recording mean noise levels ranging from 14.2 dB in laboratory environments to 32.1 dB in classrooms, with corresponding standard deviations of 1.2-7.0 dB. Expert evaluation from eight assessors confirmed the system's usability, data reliability, and robustness. The system demonstrates effective monitoring for both quiet and dynamic settings. Limitations include single-node configuration, indoor-only testing, and MATLAB-based USB data transfer. Despite these, the proposed SDAS provides a scalable and reproducible model for smart campus and urban environmental monitoring, supporting sustainable development goals (SDG) 3, 9, and 11. [ABSTRACT FROM AUTHOR]
ISSN:16936930
DOI:10.12928/TELKOMNIKA.v24i2.27557