A prototype of IoT based noise pollution detection and notification in library using noise sensor and Blynk application

Noise pollution is the term used to describe the increase in ambient noise levels brought on by human activity. Humans may suffer immediate or delayed hearing damage due to acoustic overexposure. Libraries also affected by noise pollution as the source of noise pollution are mostly from external sources. Researches insisted that the recommended level of sound in a library should be around 40 decibels. The development of a prototype for an Internet of Things (IoT)-based noise pollution detection and notification system in a library environment is demonstrated in this research. The objectives of this project are to develop and implement a prototype that can use a sound sensor, a NodeMCU ESP8266, and the Blynk app to measure noise levels in a specific area and send real-time notifications to a mobile device and to evaluate the performance of the prototype, several tests were conducted, including functionality testing, network testing, and usability testing. The prototype was tested in various scenarios to prove its functionality and response time. The prototype had a positive review from majority of respondents that involved in usability testing. Other researches can implement an alternative means of measuring sound in order to read sound level accurately for future work. The results of the evaluation suggest that the prototype was successfully implemented, with accurate noise level measurements and consistent notice transmission. The prototype offers an efficient means of keeping track of noise pollution in libraries and other comparable settings, promoting a calm environment for learning and research.