NOISE DETECTION AND NOTIFYING SYSTEM HARDWARE MODEL FOR NOISE PREVENTION

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Authors: Shirsat Janhavi , Swagata Survase, Om Patil
Cited by: 0

Abstract

Abstract This paper explains a global issue of noise pollution and solution for it. We the students of computer engineering developed a model named as Noise detection and notifying system which will bring awareness in the human beings. The Noise Detecting and Notifying System is designed to monitor and detect environmental noise levels in real-time, providing instant alerts when noise exceeds predefined thresholds Utilizing advanced acoustic sensors and microcontroller-based systems, this system measures. ambient sound levels in various environments, such as homes, offices, or public spaces. When noise levels surpass a set limit, the system triggers a notification, which can be sent via mobile application, SMS, or sound alarms, depending on user preferences. The system aims to enhance the quality of life by promoting noise awareness and enabling timely interventions to reduce noise pollution, improve productivity, and ensure regulatory compliance in noisesensitive areas. It can be further integrated with IoT devices for remote monitoring and data analysis, helping authorities or individuals take corrective actions effectively. Keywords Noise pollution, Noise Detection, Acoustic sensors , Microcontroller-based system. The Noise Pollution Monitoring System is an IoT-based setup that uses sound sensors and a microcontroller to measure noise levels in real time, display them on an LCD, and send alerts via the Blynk app. It helps track and manage environmental noise for safer, smarter spaces.

Fields of Study & Subjects

Noise Effects and Management Arduino and IoT Applications Air Quality Monitoring and Forecasting

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 February 2026