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Authors: Lorenzo de Lauretis 1 ; Tiziano Lombardi 1 ; Stefania Costantini 1 and Ludovica Clementini 2

Affiliations: 1 Università degli studi dell’Aquila, DISIM Department, L’Aquila, Italy ; 2 Università degli studi dell’Aquila, DIIIE Department, L’Aquila, Italy

Keyword(s): Arduino, Health Issue Prevention, Dangerous Noises Detection, IoT, Portable Device.

Abstract: The issue of noise pollution is becoming more and more relevant in our today’s way of life. Studies have shown that some noise waves are especially damaging, triggering continuous harm to the nervous scheme with the resulting failure of listening capacity in some instances. Thanks to the latest technological findings, noises can be sampled and analyzed even on very tiny appliances that can possibly be carried anywhere. By testing the noise via a condenser microphone and evaluating the outcome of applying the Fast Fourier Transform to the sampled samples, we can identify the existence of frequencies that are considered detrimental to the auditory system, warning a person in real-time about the prospective risk to which (s)he is facing. Moreover, using a buzzer to alert the user when malicious sounds are detected, our device is also suitable for blind people.

CC BY-NC-ND 4.0

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Paper citation in several formats:
de Lauretis, L.; Lombardi, T.; Costantini, S. and Clementini, L. (2021). An Arduino-based Device to Detect Dangerous Audio Noises. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-504-3; ISSN 2184-4976, SciTePress, pages 303-308. DOI: 10.5220/0010476403030308

@conference{iotbds21,
author={Lorenzo {de Lauretis}. and Tiziano Lombardi. and Stefania Costantini. and Ludovica Clementini.},
title={An Arduino-based Device to Detect Dangerous Audio Noises},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2021},
pages={303-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010476403030308},
isbn={978-989-758-504-3},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - An Arduino-based Device to Detect Dangerous Audio Noises
SN - 978-989-758-504-3
IS - 2184-4976
AU - de Lauretis, L.
AU - Lombardi, T.
AU - Costantini, S.
AU - Clementini, L.
PY - 2021
SP - 303
EP - 308
DO - 10.5220/0010476403030308
PB - SciTePress