SvanNET AI

The AI module enables automatic noise source recognition and classification by using artificial intelligence and machine learning. This AI system employs machine learning algorithms to analyse recorded audio data, accurately categorising sound sources into 28 distinct classes, such as industrial noise, traffic, and natural sounds. By automating the noise source identification process, SvanNET AI provides precise and real-time noise monitoring, enabling cities to manage urban noise pollution more effectively.

Environmental Noise

The main application of SvanNET AI is in environmental noise management, particularly for urban noise and traffic. It is used to monitor, identify, and categorize various noise sources in cities, helping authorities and planners implement targeted noise reduction measures. By providing accurate and real-time data on noise pollution, SvanNET AI supports the development of effective strategies to mitigate the adverse effects of urban noise on public health and improve overall urban living conditions.

Noise Source Identification

SvanNET AI excels in noise sources identification, using advanced machine learning algorithms to analyse recorded audio data. It can classify sound sources into 28 distinct categories, such as industrial noise, traffic, construction, and natural sounds. This precise identification enables cities to monitor and manage noise pollution more effectively, ensuring targeted noise control measures and improved urban living conditions.