EM2030-A

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AI-Powered Sound Classification - ANI (Automated Noise Identification)

Sonitus Systems' ANI feature leverages artificial intelligence to automatically identify and categorise noise sources from the captured audio clips. By analysing the audio data, ANI can distinguish between different types...

Key Product Features

Product Option: SON-EM2030-A

AI-Powered

Uncompressed High Resolution Audio

Level Trigger

Pre-Record Time

Post-Record Time

Back Off Time

Audio Notifications

Sonitus Cloud

Save Time with Automated Intelligence

Let Sonitus ANI handle the heavy lifting – the AI automatically identifies and categorises common noise sources, reducing manual review time. Instantly filter data by noise type, making it easier to isolate problematic sounds and take targeted action.

Sonitus Cloud – Real-Time Data Reporting

Effortless Noise Source Identification

Quickly pinpoint and classify noise sources with Sonitus ANI’s AI-driven identification feature. Whether it’s construction noise, traffic disturbances, or industrial machinery, the automated system categorises audio recordings, eliminating the guesswork and providing precise, actionable data.

Sonitus Cloud – Real-Time Data Reporting

Capture Critical Audio Events Automatically

Stay on top of noise events with automated audio capture that records sound whenever predefined noise thresholds are exceeded. The EM2030 monitor saves audio clips to the cloud, allowing you to review and analyze specific noise events remotely, ensuring you never miss a crucial incident.

Sonitus Cloud – Real-Time Data Reporting

Capture Critical Audio Events Automatically

Comprehensive Noise Analysis Tools

Combine audio capture with frequency analysis to gain deeper insights into noise profiles. Break down noise into 1/3 and 1/1 octave bands, visualize data trends, and correlate frequency spikes with specific audio recordings for a thorough assessment.

Sonitus Cloud