NoiseGrid analyzes city soundscapes through distributed acoustic sensors. Discover noise levels, temporal patterns, and how AI supports sound-aware urban planning.
Join NoiseGrid's network of acoustic sensors and contribute to AI-powered urban planning. Visualize noise levels, temporal patterns, and urban comfort with our interactive heatmaps and charts.
NoiseGrid is an urban sound mapping platform that analyzes city soundscapes using a distributed network of acoustic sensors. We focus on measuring noise levels, identifying temporal patterns, and assessing urban acoustic comfort to support sound-aware city planning.
Our AI algorithms process sensor data to detect patterns, classify sound sources, and predict noise trends. This supports the creation of detailed heatmaps and temporal charts, providing actionable insights for urban planners and researchers.
Our acoustic sensors are strategically deployed across various urban zones in partnership with municipalities and research institutions. We focus on areas with diverse sound profiles to build a comprehensive map of the urban acoustic environment.
Our primary users are urban planners, municipal governments, acoustic researchers, and environmental consultants. The data is used for noise pollution studies, urban design projects, public policy development, and academic research.
Access to data varies. We provide public summaries and visualizations on our platform. For detailed datasets, heatmaps, or custom reports, please contact our editorial office via the contact page to discuss partnership or data licensing options.
Our sensor network is calibrated to industry standards. We use high-fidelity acoustic sensors and our data processing pipeline includes validation and correction algorithms to ensure the accuracy and reliability of all noise level measurements and derived metrics.