Svantek SvanNET AI-2 Noise Sources Identification

Allow to recognise 10.000 events in 12 months since activation AI-powered noise classification using machine learning to automatically identify environmental sound sources Real-time sound source recognition and classification of noise events as they occur Detection and classification of 27+ sound categories, including traffic, construction, industrial, and natural sounds Audio event classification based on trigger-driven recordings Confidence scoring for each classification to indicate result reliability Designed specifically for environmental and urban noise monitoring applications Integration with the SvanNET cloud platform for centralized monitoring and data management Automated reporting and visualization of noise data for analysis and documentation Scalable architecture supporting multi-site and large-area monitoring networks