NoiseTag

NoiseTag uses smart AI to automatically classify ambient sounds within NorCloud and distinguish relevant activity sounds from unwanted background noise.
With NoiseTag, NorCloud can calculate partial noise levels by disregarding contributions that are not activity-related.
The result: less manual work, clearer insights, and more accurate assessments of ambient noise.

NoiseTag automatically analyzes all measured sounds and distinguishes between:

• relevant sounds (e.g., from a construction site or activity you are investigating)
• irrelevant background sounds (e.g., traffic, wind, other sources)

This allows the system to automatically recognize unwanted sounds and exclude them from the analysis.

How it works:

• It uses AI that is trained per project with a few sound samples
• It automatically labels and classifies sound events
• It also provides a confidence score for each detection

Why it matters:
Noise measurements often contain a lot of “noise” from other sources. NoiseTag:

• reduces manual work
• speeds up analysis
• ensures more accurate and consistent results

In short:
NoiseTag is a smart AI tool that automatically separates relevant sound from disruptive noise, allowing you to analyze noise measurements faster and with greater reliability.

more information:
https://www.norsonic.com/noisetag/