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
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.