Implementation of the internet of things network for monitoring audio information on a microprocessor and controller

Abstract

The subject of research is the development and implementation of Internet of Things (IoT) network structures for monitoring and analyzing audio information based on Raspberry microprocessor (MP) and an Arduino controller. The purpose of the article is to detail the process of developing an IoT based audio information monitoring network and evaluate the results. The authors have developed two variants of IoT structures for monitoring and analyzing audio and voice information. The IoT network includes a sound sensor (microphone), a unit for analyzing the information received from it and a decision-making module. A diagram of the first IoT structure for assessing the sound level based on the MP and controller is given. The algorithm of IoT network functioning for the analysis of voice information is detailed. It includes receiving information from the microphone, transmitting this information to the MP, processing it according to certain rules, forming a solution by the controller and issuing recommendations to a user. The algorithm is implemented in the IoT network, which includes a microphone, Raspberry MP, Arduino controller, software, applications for the operator. A prototype of the IoT network was created for the analysis of voice information and experiments were conducted to test its functioning. The audio recognizer was trained using various audio samples. The voice sound analysis system was tested in four scenarios: with a large and small amount of background noise, loud and quiet voice. Analysis of the results of the experiment showed that the voice sound analysis system works better when the voice is loud, as well as in a place where the situation is with minimal background noise.