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.