Authors: Aram Mohammad Abdulqadir & Mohammed Hussein Shukur
Department of Computer Science, Cihan University – Erbil
In this paper, we proposed an IoT-based sound pollution checking system. It is a
method of an economical acoustic sensor developed on the Raspberry-Pi, for its use in
the analysis of the noise level in the classroom. This prototype is connected to an online
server to share results in the actual time. This experiment has shown the Raspberry-Pi as
an impressive and low-cost computing core of an affordable device to evaluate the
environmental sound pollution that affects student satisfaction and performance in
higher education classrooms.
Keywords: Noise Monitoring; Smart Classroom; Noise Awareness; IoT;
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