Vibration-based condition monitoring for conveyor systems — built end-to-end, from silicon to server.
In most SME manufacturing plants, bearing failures are still caught by ear, by smell, or by a machine grinding to a halt mid-shift. By the time someone notices, the damage — and the downtime — is already done.
A complete condition-monitoring pipeline. A microcontroller reads vibration data from a sensor mounted on the machine and processes the raw signal on-device, within tight memory and power budgets. Every device proves its identity before it is allowed to transmit; readings are then validated and stored in a time-series database running on infrastructure I deploy, secure, and monitor myself. The next layer teaches the system what "normal" looks like for each machine, so it can flag a developing fault weeks before it becomes a failure.
This is the capability I bring to industrial clients: connecting machine and sensor data to the cloud, and turning it into automated workflows — alerts that become maintenance tickets, readings that become AI-generated shift reports, thresholds that trigger spare-part orders. One system, from the factory floor to your business tools.
Unplanned downtime is one of the most expensive line items in manufacturing — and most SME plants still catch bearing failures by ear, or when the line stops. Vibration-based condition monitoring changes the timeline: developing faults show up in the data weeks before they become failures, turning emergency repairs into scheduled maintenance.
The system above streams sensor data end-to-end today — from the machine to a secured cloud database — and the anomaly-detection layer is in active development. I'm looking for one or two manufacturing companies to pilot it on a real conveyor or rotating machine: you get early-warning monitoring on a machine that matters, I get real-world data. If that's you, book an audit call and tell me about the machine.