Capture high-frequency telemetry from sensors, PLCs, and CNC machinery. Our edge computing layer processes vibration, temperature, and electrical harmonics with machine learning algorithms to foresee equipment failures up to 72 hours before catastrophic stoppages occur.
Traditional periodic maintenance replaces functional components unnecessarily or intervenes too late after a spindle seizure. Our predictive AI models ingest real-time vibration spectral signatures (FFT) and thermal gradients to forecast bearing wear, unbalance, and lubrication loss with remarkable precision.
High-precision vibration accelerometers, infrared pyrometers, and CT current clamps wired to edge gateway.
Pre-processing FFT spectral analysis and anomaly detection run locally on industrial edge computing box.
TimescaleDB / InfluxDB indexing billions of historical data points for seasonal degradation modeling.
Instant push alert to maintenance technician smartwatch and automated work order dispatched to ERP.
Live tracking of Availability, Performance, and Quality indices. Pinpoint micro-stoppages and cycle-time degradation instantly.
Supervised and unsupervised ML models trained on industrial rotational dynamics to forecast mechanical bearing and motor failures.
Multi-channel dispatch routing alerts to smartwatches, factory floor audio beacons, and automated escalation timers.
Guarantees that shopfloor production OT networks are never exposed directly to external cyber threats.
Works seamlessly with legacy machinery and modern robotics using OPC UA, MQTT, and Modbus.
Connect 1 pilot machine or production cell to our Edge AI Box and evaluate live telemetry within 3 weeks.
