Safety Monitoring Of Sewage Workers Using IOT and Machine Learning

Abstract

This Sewage environment monitoring system using Internet of Things along with the fusion of Machine Learning has been proposed as a solution to help the sewer workers who put their lives in jeopardy, and ensure minimal health risk. Many sanitation workers had suffered serious health concerns at an early age and have lost their lives due to being continuously exposed to toxic surroundings of drainage, Different kinds of work have been done to detect, maintain and manage the drainage system but very few have been done for protecting the lives of people who do it. The objective of this monitoring system is to obtain an effective low-cost and flexible solution for checking and keeping an update using sensors and collecting and analyzing data using the Internet of Things and Machine Learning. This system is based on the perusal of real-time data provided by the wireless sensor network which generates huge amount of data; this data is then processed by the microcontroller and depicted on the cloud. The data obtained on the cloud is then used by Machine Learning Model for further systematic analysis making smart use of this massive volume of data in order to predict the condition of the worker with considerable reliability and accuracy.