ForestHub Logo ForestHub Logo ForestHub

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

ManufacturingEnergyBuilding AutomationOil and Gas

Orchestrate Machine Sound Monitoring with ForestHub

Your devices run machine sound monitoring on-device. ForestHub on your Linux edge gateway ingests their results over MQTT/Modbus/OPC-UA, orchestrates the sense-reason-act loop as an auditable graph, and acts on the line — the LLM is one node among many.

Get Started Free Open MCU Checker