ANALYSIS AND DESIGN OF PREDICTION SYSTEM FOR NOISE POLLUTION USING MACHINE LEARNING - A REVIEW

Mr. Abhijeet Ganpat Khadke; Dr. G. R. Bamnote; Prof. S.W. Ahmad

doi:10.17605/OSF.IO/GTW4K

Authors

Mr. Abhijeet Ganpat Khadke PG Student, Prof.Ram Meghe Institute of Technology and Research,Badnera Amravati, India
Dr. G. R. Bamnote HOD Department of Computer Science & Engineering, Prof.Ram Meghe Institute of Technology and Research,Badnera Amravati, India
Prof. S.W. Ahmad Department of CSE,Prof.Ram Meghe Institute of Technology and Research,Badnera Amravati, India

DOI:

https://doi.org/10.17605/OSF.IO/GTW4K

Keywords:

Noise Pollution Monitoring System, Internet of things, Pollution Monitoring, Noise Level, IOT Base Noise Monitoring System..

Abstract

Noise pollution is a developing problem now a days. The quickest effect is an illness of human mental health. Now days sleep disorder is a serious cause. Continuous propagation of noise can create frustration. Noise can make a more contribution to cardiovascular effect in human beings. That is a reason it is very difficult to live a healthy life for all. The proposed system work on the methods of Internet of Things (IOT) which is an evolving technology. It will also check the live intensity of generating noise in a particular area and also maintain a log over the internet for further analysis and prediction. The proposed system will be sensing the presence of dangerous noise range. A micro controller will be used to process the noise data and generate reports for authorities to keep a watch and take some precaution over the excessive noise. It will also classify the noise using machine learning algorithm and design prediction system for noise pollution. This system can be used in various areas. It will be used near school, college campus, hospital and no honking area and traffic areas. If more noise found in a particular area or city, it will get reported to the branch.