Indonesian Journal of Electrical Engineering and Computer Science Vol. 30, No. 1, April 2023, pp. 289∼298 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v30.i1.pp289-298 ❒ 289 IoT cloud based noise intensity monitoring system Tashfat Fatema, Md. Azizul Hakim, Tanjila Khan Mim, Mushrat Jahan Mitu, Bijan Paul Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, Bangladesh Article Info Article history: Received Jul 13, 2022 Revised Nov 12, 2022 Accepted Nov 19, 2022 Keywords: Arduino IoT Cloud Decibel ESP8266 Noise intensity Sound pollution Sound sensor ABSTRACT According to a survey published by the United Nations Environment Pro- gram (UNEP) last month, Dhaka, Bangladesh’s capital, is the world’s noisiest metropolis. Dhaka is consistently ranked as one of the most polluted cities in the world. The World Health Organization (WHO) has set a noise intensity limit of 55 decibels for a certain region. Dhaka, on the other hand, was determined to be twice as loud, at 110 to 132 decibels. As many as 66 percent of traffic cops work on the road to control traffic, and this high noise intensity noise is causing them hearing and sleeping problems on a daily basis. Furthermore, loud noises can increase blood pressure and pulse rates, produce mental stress, and inter- fere with amusement and personal interactions. Keeping all of this in mind, we designed a real-time noise pollution monitoring system that will assist in con- ducting experiments in this type of environment by evaluating noise intensity and automatically sending data to a IoT cloud-based platform. This is an open access article under the CC BY-SA license. Corresponding Author: Bijan Paul Department of Computer Science and Engineering, University of Liberal Arts Bangladesh Dhaka, Bangladesh Email: bijan.paul@ulab.edu.bd 1. INTRODUCTION Noise pollution is one of the most critical and overlooked environmental challenges. According to the World Health Organization (WHO), noise pollution from traffic or roads has a significant negative impact on people’s health and living quality. An undesired sound made by activities that is damaging or destructive to one’s health-quality of life is referred to as environmental noise. Noise is defined as an auditory pollution or a sound that is ‘out of place’ [1]. Despite all of the difficulties and negative consequences of noise pollution, we must eventually go about our daily lives. So, keeping all of these factors in mind, our system will operate in any setting and will be a highly portable device to carry around. As our system is Arduino IoT cloud based, we must acquire or collect data in real time and use it for future purposes. As a result, because our system is web based as well as mobile application based, it has actual data for subsequent technological use in any assessment process as well as easy access to real time noise monitoring analysis data, make up an integrated supervisory system for increased comfort and strategies to make it easier to manage noise levels [2], [3]. Children are becoming ill as a result of the high noise levels, and pregnant women are suffering as a result of hearing loss. There’s also the possibility that this will have an impact on wildlife. If noise pollution is not successfully controlled, it will have substantial long-term public health repercussions. People become habituated to their home’s noise levels and are unable to distinguish background noise pollution [4]. Our solution is IoT-based, which means it collects real-time data on decibel variables. The internet of things (IoT) concept aims to connect people, data, things, and processes in a global network that, when used wisely, can dramatically improve daily life, especially in smart cities [5]. In current modern cities, noise measurements are mostly done by local professional police officers. The officers primarily collect noise data in a specific location or area for examination and storage Journal homepage: http://ijeecs.iaescore.com