Pollution Control and Monitoring System with ML Based Analysis

Abstract

With climate change showing real and measurable effects on the day-to-day lives of millions around the world, it is high time to take necessary actions to curb pollution and greenhouse gases. Planning for a sustainable future has become a necessity. But to solve a problem of this scale and nature one needs to first understand it fully. Climate Change is not a localised problem, it is an effect of a global scale cause. Pollution and uncontrolled usage of unrenewable resources are two major factors in this global causation. To understand the extent of our effect on climate, an easy to use and distribute system for measurement will be crucial. In the reported work, the authors have designed and implemented an end-to-end Pollution Detection System with Machine Learning (ML) analysis of the data captured. It consists of two major parts, (a) Client-side Pollution Box which will be compact and cheap, fully integrated with sensors able to capture measurement points for air, water, light and noise pollution and (b) Server-side Cloud Data processing using Machine Learning techniques help to find patterns and correlation using data from the mesh. Mesh would be created by distributing these cheap pollution boxes over a locality or area.