In Rwanda, the government of Rwanda tried to avoid the noise disturbance from public and private institutions mainly caused by bars, night clubs and religious churches by fixing soundproof, moving religious churches in the non-residential area but the outcomes were not fully successful. In this project, a feasibility study is presented on a new monitoring system in which an acoustic pattern classification algorithm running in circuit actuators is used to automatically assign the measured sound level to the different noise sources.

For monitoring the variation of parameters like noise pollution levels from their normal levels; in this case, the actuator devices are connected to the embedded computing system and build a system called IoT-based sound governor. IoT-based Sound governor will help the substandard soundproof to monitor the level of sound in bars, churches and nightclubs according to the regulations of government.

The actuator called sound cuter which is a sound compressor will be connected to the audio mixer which generates sound and make an automatic regulation of sound to be not greater than normal level and when it will get closer to 90 the sound compressor will automatically reregulate to a normal level. This case study is going to give to the concerned institutions, a sustainable solution of noise pollution monitoring in those different areas using Internet of things innovations. IoT-based sound governor of an efficient building requires monitoring and measures the condition in case of exceeding the established level of noise.