A Review on Noise Monitoring System

Abstract

Noise pollution is a growing problem in today’s environment. We experience unwanted noise in many places such as roads, markets, schools, and industrial areas. Continuous exposure to high noise levels can cause problems like headache, stress, and disturbance in daily life. Therefore, monitoring noise level has become necessary.In this project, a Noise Monitoring System is developed to observe the surrounding noise level. A sound sensor is used to detect the noise, and the sensor output is given to a microcontroller for processing. The microcontroller continuously checks the noise level and compares it with a predefined limit. When the noise level crosses this limit, the system provides an alert using a visual indicator such as an LED or display.The system is simple in design, low in cost, and easy to operate. It can be used in residential areas, schools, hospitals, and small industries. This project helps in monitoring noise pollution and creates awareness about maintaining a healthy environment.

Introduction

Noise pollution has become a serious problem due to urbanization, traffic, industries, and construction activities, causing harmful effects such as stress, sleep disturbance, poor concentration, and hearing loss. Traditional noise monitoring methods rely on manual measurements taken for short durations, which are costly, infrequent, and ineffective for continuous control. This creates the need for an automated noise monitoring system that can provide real-time, continuous monitoring and immediate alerts when noise levels exceed safe limits.

The proposed Noise Monitoring System uses a sound sensor, microcontroller, and alert devices to detect and monitor environmental noise. The sound sensor converts sound waves into electrical signals, which are processed by the microcontroller and compared with a predefined threshold. When noise exceeds the limit, visual and audio alerts are activated, and a wireless alert is sent via Bluetooth from a slave unit to a master unit.

The system design combines simple hardware components with Arduino-based software for reliable operation. It is suitable for applications in schools, hospitals, residential areas, industries, traffic zones, offices, and smart city projects. Key advantages include low cost, simple design, real-time monitoring, and wireless communication, while limitations include limited range, relative noise measurement, and lack of data storage.

Overall, the system demonstrates an effective, low-cost solution for noise pollution monitoring and awareness. Future enhancements include IoT integration, accurate decibel measurement, data logging, advanced alert methods, and large-scale deployment for smart cities.

Conclusion

The Noise Monitoring System developed in this project successfully detects and monitors environmental noise levels. The system uses a sound sensor, microcontroller, and Bluetooth communication to identify excessive noise and provide alerts. The master–slave arrangement makes the system reliable and easy to understand. This project helped in understanding the practical use of sensors, microcontrollers, and wireless communication. The system is simple, low-cost, and works in real time. It can be effectively used in places where noise control is important. Overall, the project meets its objectives and demonstrates an efficient solution for noise monitoring.

References

[1] Douglas V. Hall, Microprocessors and Interfacing, McGraw-Hill Education, New York. [2] Muhammad Ali Mazidi, Janice Gillispie Mazidi, and Rolin D. McKinlay, The 8051 Microcontroller and Embedded Systems, Pearson Education. [3] Raj Kamal, Microcontrollers: Architecture, Programming, Interfacing and System Design, Pearson Education. [4] Sound Sensor Module (LM393) Datasheet and Technical Specifications. [5] Microphone and Sound Level Measurement Basics, Electronics reference notes. [6] Arduino Uno Technical Reference and Hardware Documentation. [7] Embedded Systems fundamentals and real-time monitoring concepts, course material

Copyright

Copyright © 2026 Abhishek Nagrale, Bhumika Chatare, Shiv Pashamwar, Anisha Kaswate, Niketan Rangari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.