Nuisance Monitoring System

Noise pollution is a common problem in urban environments that has been shown to affect people's health and children's cognition caused by vehicular traffic, Festival celebration, loudspeakers etc. In the last decade, several studies have been conducted to assess this noise, by measuring the equivalent noise pressure level to acquire an accurate sound map using wireless networks with acoustic sensors. Environmental noise monitoring systems continuously measure sound levels without assigning these measurements to different noise sources in the acoustic scenes, therefore incapable of identifying the main noise source. The goal is to evaluate the hardware limitations of a low-cost wireless acoustic sensor network. The sensor is based on an inexpensive credit-card sized single-board computer with a microphone and associated electronics and wireless connectivity. The measurement results and source information are send from the sensors scattered around the measurement site to a storage service and a noise portal is used to visualize the data to users. A conveniently study has been done on this concept in which an acoustic pattern classification algorithm is working in a wireless sensor network is used to automatically assign the measured sound level to different noise sources. This noise monitoring system can reduce the amount of required human effort for validation of the sound level data when the target noise source is known.