Advanced International Journal for Research

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IoT Enabled Real-time Noise Surveillance Monitoring System

Author(s) Bhumika Jaganwar, Prof. Archana Dongardive, Gargi Khamborkar, Anuj Joshi, Dr. Poonam Gupta, Zubiya Khan
Country India
Abstract Noise pollution has become a critical environmental issue in urban areas, adversely affecting human health and overall quality of life. Conventional noise monitoring methods are often limited to manual measurements and fixed stations, which are costly, labor-intensive, and unable to provide real-time data. To address these limitations, the IoT-Based Noise Pollution Monitoring System has been developed, leveraging an ESP32 microcontroller, sound sensor, LCD display, buzzer, and cloud connectivity. The system continuously measures ambient noise levels and displays real-time readings while sending data to a cloud platform for storage, analysis, and visualization. When noise exceeds predefined thresholds, the
system triggers an immediate alert through a buzzer and mobile application notifications, facilitating timely interventions. This approach not only enables effective monitoring and regulatory compliance but also raises public awareness about the adverse effects of noise pollution. The
scalable design allows future integration of additional environmental parameters, making it suitable for comprehensive smart city applications. Overall, this system provides an efficient, cost-effective, and automated solution for real-time noise pollution management.
Keywords IoT, Noise Pollution, Real-Time Monitoring, ESP32, Sound Sensor, Cloud Computing, Environmental Monitoring, Smart City.
Published In Volume 7, Issue 2, March-April 2026
Published On 2026-04-24
DOI https://doi.org/10.63363/aijfr.2026.v07i02.5172
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