Industrial & Predictive Maintenance
The silence is the signal — acoustic monitoring for machinery health
Monitor industrial equipment, HVAC systems, pumps, generators, and compressors through their acoustic signatures. Detect anomalies, predict failures, and catch the moment a machine stops — or starts sounding wrong. Deploy any edge microphone for 24/7 monitoring at a fraction of traditional vibration analysis costs.
Acoustic Machine Intelligence
Every machine has an acoustic fingerprint. H‑ear learns what normal sounds like and alerts you when something changes — or goes silent.
Deploy Sensors
Place a Raspberry Pi, ESP32, or cheap microphone near your equipment. Record in 30-minute chunks, filter silence locally, and auto-upload to H‑ear via API. Total hardware cost: under $100.
Build Acoustic Baselines
H‑ear classifies the normal operating sounds of your machinery — motor hum, compressor cycles, pump rhythms. The baseline becomes your acoustic health reference.
Detect Changes
When a bearing starts grinding, a belt begins slipping, or a compressor fails to cycle — the acoustic signature shifts. H‑ear classifies the deviation and timestamps the change.
Alert & Report
Webhook callbacks notify your monitoring systems in real-time. Historical reports show acoustic health trends over days, weeks, and months. Predict failures before they happen.
Why Acoustic Monitoring
The compressor stopped at 3am — you'll know by 3:01
Non-invasive: no sensors bolted to equipment, no downtime for installation
Deploy edge monitoring for under $100 per station
Detect bearing wear, belt slip, and pump cavitation by sound alone
24/7 monitoring at a fraction of traditional vibration analysis costs
Historical acoustic profiles reveal degradation trends weeks before failure
Industrial Scenarios
HVAC Monitoring
A rooftop unit cycles on and off predictably. When the compressor fails to start at 2am in summer, H‑ear detects the absence and triggers an alert before tenants notice the heat.
Pump Station Surveillance
Water treatment pumps have a distinctive acoustic signature. Cavitation, bearing wear, and impeller damage each produce characteristic sound changes that H‑ear classifies and timestamps.
Generator Watchdog
Backup generators must start when power fails. Deploy a sensor to confirm acoustic startup within seconds of a power event. If silence persists, escalate immediately.
Factory Floor Overview
Multiple machines in a production line each contribute to the ambient soundscape. H‑ear separates and classifies each source, building a dashboard of acoustic health across your entire facility.