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; Raspberry Pi
Aram Mohammad Abdulqadir, Mohammed Hussein Shukur
Department of Computer Science
Cihan University – Erbil
Erbil – Iraq