Blending acoustic artistry with industrial precision. Protect your assets with real-time AI signal reconstruction.
Industrial productivity meets safety assurance.
Prevent catastrophic fires and accidents caused by idler failures and accumulated dust friction.
Early detection of bearing failures, belt tearing, and misalignment ensures seamless operations.
Minimize huge economic losses and downtime through intelligent, predictive early warnings.
We utilize the optical fiber itself as both the transmission medium and the sensor. Through advanced Phase-Sensitive OTDR and Rayleigh scattering, we transform 5km of fiber into 2,500 distinct sensors.
Fiber optic signals in conveyor environments are non-stationary but possess long-term stability. We adapt advanced speech processing methods (like Fbank and MFCC) to extract precise feature sets.
The fiber optic signal is segmented into frames, windowed, and subjected to STFT, Mel filtering, 1st/2nd order differencing, and DCT (Discrete Cosine Transform).
A quantum leap beyond traditional vibration monitoring.
| Feature | AcuDetek Acoustic Sensing | Traditional Vibration Sensors |
|---|---|---|
| Frequency Range | 5Hz - 20,000Hz (Rich Audio) | 100Hz - 1,000Hz (Limited) |
| Data Richness | Timbre, Voiceprint, Waveform | Basic Amplitude Only |
| Localization | High Precision (2-8m) | Low Precision (10-200m) |
| Diagnostic Accuracy | > 97% Accuracy | High Error Rate (> 40%) |
Our platform transforms raw data into a simple "Health Index" for every idler on your line. Maintenance becomes predictive, not reactive.
Receive real-time alerts and diagnostic audio directly on your device.
Targeted fault training identifies seized idlers, cracks, and bracket issues automatically.