Rotating Equipment Monitoring
Continuously monitor motors, pumps, compressors, fans, and gearboxes for early signs of bearing wear, imbalance, misalignment, or cavitation.
AI-Powered Sound Analysis for Manufacturing
Detect Machine Problems Before They Become Costly Breakdowns
Every machine has its own acoustic fingerprint. Orama's AI-powered Sound Analysis continuously listens to equipment, learns its normal operating sounds, and instantly detects abnormal acoustic patterns that indicate developing faults.
Whether it's bearing wear, cavitation, loose components, motor imbalance, air leaks, or process anomalies, the system identifies issues early — allowing maintenance teams to intervene before unexpected downtime occurs.
See It In Action
Try a live demo
Audio Anomaly Detection
Select an audio sample to analyze OK/NG sounds
OK Audio Sample
Normal operating sound
NG Audio Sample
Anomaly sound pattern
Audio Analysis
Select an audio sample above
Detection Accuracy
99.7%
Samples Analyzed
25,243
Where It's Used
Built for real manufacturing environments
Predictive Maintenance
Detect developing equipment issues days or even weeks before failure, enabling planned maintenance instead of costly emergency repairs.
In-Line Quality Checks
Identify rattles, loose components, cracks, and abnormal product sounds during assembly without interrupting production.
Ambient Noise & Compliance Monitoring
Monitor shop-floor noise levels for workplace safety compliance while identifying unusual acoustic events in real time.
System Compatibility
Designed for existing manufacturing environments
No need to replace your existing equipment. Orama's Sound Analysis solution integrates seamlessly with production assets and industrial automation systems, making deployment fast and minimally disruptive.
Compatible With
Equipment
- Motors
- Pumps
- Compressors
- Fans
- Gearboxes
Production
- CNC Machines
- Assembly Stations
Connectivity
- PLCs
- Industrial Networks
- Edge Devices
The Problem
Why Manufacturers Need Sound Analysis
Problems That Traditional Inspections Cannot Detect
Many equipment failures begin long before they become visible — or before conventional monitoring systems trigger an alert.
A worn bearing, loose coupling, misaligned shaft, failing motor, or leaking valve often produces subtle acoustic changes well before visual defects or vibration thresholds become apparent. Manual inspections rarely capture these early warning signs consistently, resulting in unexpected downtime, emergency maintenance, and higher operating costs.
AI-powered acoustic monitoring continuously listens to equipment 24/7, detecting these microscopic sound variations before they become costly production failures.
How It Works
How Orama Deploys the Solution
From Sound Collection to Predictive Alerts
- 1
Install industrial microphones near target equipment.
- 2
Capture normal operating sound data.
- 3
Train AI models using machine-specific acoustic patterns.
- 4
Monitor equipment continuously during production.
- 5
Detect abnormal sound signatures in real time.
- 6
Trigger alerts, dashboards, or PLC actions automatically.
- 7
Store historical data for trend analysis and predictive maintenance.
What the System Detects
Detect early acoustic anomalies such as
Mechanical Faults
- Bearing Wear
- Motor Imbalance
- Shaft Misalignment
- Gear Damage
- Fan Blade Defects
Fluid & Air Issues
- Air Leaks
- Cavitation
- Pump Failures
Production & Assembly
- Assembly Rattles
- Process Deviations
- Abnormal Machine Sounds
- Loose Components
Why Orama
Why Manufacturers Choose Orama Sound Analysis
Continuous 24×7 Monitoring
Non-Intrusive Deployment
Early Fault Detection
Reduced Unplanned Downtime
Lower Maintenance Costs
Improved Equipment Reliability
Edge AI Deployment
PLC & SCADA Integration
Historical Trend Analysis
Supports Predictive Maintenance Programs
See it working on your line
Book a demo and we'll walk you through how AI-powered sound analysis fits into your existing setup.
FAQ