IOT-Based Noise Monitoring System

PRIYADHARSHINI, S and Padma, R (2026) IOT-Based Noise Monitoring System. International Journal of Science, Strategic Management and Technology, 2 (4). pp. 1-5. ISSN 3108-1762

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Abstract

The noise monitoring system is an IoT-enabled system developed to observe and regulate noise levels within indoor environments such as educational institutions, healthcare facilities, libraries, and workplaces. Maintaining appropriate acoustic conditions in these settings plays a crucial role in enhancing focus, comfort, and overall productivity. The system integrates acoustic sensors with microcontroller platforms, including ESP-based modules and Raspberry Pi, to capture sound intensity continuously. The recorded data is transmitted to a cloud interface, allowing users to access and monitor noise levels remotely. Custom threshold values can be configured depending on the application environment. When the detected sound exceeds these limits, the system issues alert through visual signals, audible alarms, or mobile notifications. Additionally, it maintains historical data records to support trend analysis and long-term acoustic optimization. This solution offers an efficient approach to managing indoor noise by leveraging IoT capabilities, enabling smarter and more responsive environmental control.

Item Type: Article
Subjects: Computer Applications > Intelligent Systems
Domains: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 19 May 2026 05:06
Last Modified: 19 May 2026 05:20
URI: https://ir.vistas.ac.in/id/eprint/20187

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