Machine Sound Monitoring with Edge AI

Classifying machinery sounds to detect abnormal operation such as bearing noise, belt squeal, pump cavitation, or motor imbalance without physical contact sensors. Uses audio spectral analysis instead of accelerometer-based vibration monitoring. Deployed as a non-invasive retrofit on existing equipment — mount a microphone near the machine, no mechanical attachment required. Particularly useful for legacy equipment where installing contact sensors is impractical.

Hardware Requirements

Minimum RAM 64 KB
Minimum Flash 256 KB
Sensor Inputs microphone
Typical Model Size 40 KB (quantized int8)
Minimum Clock 48 MHz

Hardware Guides

No hardware guides for machine sound monitoring yet. Use the MCU Checker to find compatible hardware.

Industry Applications

Manufacturing Energy Building Automation Oil and Gas

Build Machine Sound Monitoring with ForestHub

ForestHub compiles visual AI workflows to C code for your microcontroller. Choose your hardware, build your machine sound monitoring pipeline, deploy in minutes.