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
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.
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