A Low-Cost Particulate Matter Sensor System Using Optical Sensors for Efficient Air Pollution Monitoring

Abstract

Air pollution is a significant societal concern as it can have profound health implications, leading to illnesses and even fatalities among individuals. Particulate Matter (PM), a common form of air pollution, is known to be particularly harmful, contributing to heart and respiratory issues. This research addresses the issue of air pollution, specifically the health risks associated with Particulate Matter (PM2.5). The study aims to establish baseline PM2.5 concentration levels, an essential step toward enhancing air quality standards, particularly in developing countries. This study introduces a novel and economical detection approach that leverages readily accessible sensors backed by comprehensive data gathered from diverse settings in West Bengal. The system aims to precisely assess PM levels in different conditions using digital signal processing methods to reduce noise and maintain reliable calibration. This research highlights the commitment to addressing air pollution and demonstrates the approach's effectiveness through detailed experimental analysis. This work can significantly contribute to creating safer, healthier environments globally.