Arduino noise pollution and sound monitor project Circuit Diagram Embedded computing device is proposed for noise pollution monitoring to create smart environment. The proposed system shown in figure 2 is a distributive and scalable environmental monitoring system. Layered architecture is proposed to discuss on the functions and services of individual modules developed for noise pollution monitoring.
This study uses the Python programming language to present a unique approach for monitoring and mitigating noise pollution in real time. A number of Python libraries are used by the system
PDF Smart noise pollution monitoring system Circuit Diagram
Continuous real-time monitoring is relevant for enhanced living environments since the analysis of the noise pollution levels of the ecosystem where the patient lives can be related to his health A Noise Pollution Monitoring System is an innovative technological solution designed to measure, analyze, and manage noise levels in urban and industrial areas. It employs advanced sensing and data processing technologies to provide real-time and accurate information about noise pollution, helping policymakers, environmental agencies, and Real-time noise monitoring for effective noise control and management helps to identify noise sources and areas with high noise pollution, and potential mitigation strategies in urban planning. This paper reports work with a pilot scale system that can continuously collect noise data to assess noise levels accurately for real-time
conducted as industrial environment monitoring system to measure different types of pollutants and sources Industrial Environment, monitor, track and control this process. For exampleAuthors in [1] introduce an online pollution monitoring system for controlling pollution caused by untreated disposal of waste. Salazar .et al., [15] Noise pollution is a significant environmental issue, with government agencies seeking control solutions. Traditional methods use expensive devices for real-time monitoring. Recently, IoT offers low-cost sensors for real-time data capture and better decision-making. This summary reviews 17 high-impact articles on IoT-based variations in the noise and CO levels with respect to the specified levels). Sensor devices are placed at different locations to collect the data to predict the behavior of a particular area of interest. The main aim of the this paper is to design and implement an efficient monitoring system
