Next-generation technology. Machine Pilot Vision™ is a standalone industrial-camera AI that watches your machinery continuously, around the clock. It captures and logs machine activity to detect both gradual performance degradation and sudden faults — delivering real-time alerts and the machine-health and performance metrics that simply weren't visible before.
Real-time machine health — captured, tracked, and connected.
Continuous visibility into how every monitored machine is performing right now — not after the shift, not from a spot check.
Slow performance drift and abrupt faults alike — captured and time-stamped so every change is tracked over time.
Surfaces performance data and patterns no manual check or fixed sensor could capture.
Vision data feeds straight into the Machine Pilot platform — live visual telemetry alongside your documents, PLC data and AI, in a single view.
Rather than hard-coding "detect belt slip" or "detect chain stretch", Vision learns what normal looks like for your machine and watches for movement away from it.
This mirrors how a senior maintainer actually thinks about a machine — not "which fault code is this?" but "that doesn't sound, move or time the way it should." Vision turns that instinct into a measurable, logged signal.
Knowing whether a change crept in or appeared instantly is what makes the signal useful for maintenance planning.
A gradual drift over time — the early signature of wear.
A rapid step away from established operation.
Depending on machine complexity, monitoring uses a single camera or several — with dedicated views of the critical mechanisms, product flow and robotic systems where performance is won or lost. Each camera is positioned to capture the key data a machine's condition depends on.
The objective: capture the visual data a machine's condition and performance depend on — continuously, across every critical zone.
After install, Vision watches the machine run and builds a behavioural model of normal — adjustable to machine complexity.
Once a baseline exists, all future operation is measured against the learned model, second by second.
When operation moves outside accepted ranges, the event is classified, scored for severity and logged.
Vision can identify and track products, cartons, containers and pallets right through a production sequence — measuring performance independent of your control system.
Delivering OEE-style insight independent of the customer's control system is a significant commercial differentiator — no integration project required.
Cameras feed a local NVR and an edge processing server on a dedicated Machine Pilot network. The edge device does the heavy lifting; only metadata and the clips that matter reach the cloud.
Video decoding, motion tracking, object detection, timing analysis and event detection all happen locally.
Event logs, performance metrics, alert data, short clips and behavioural models — powering long-term analytics, cross-machine comparisons, dashboards, alert management, historical reporting and AI model management.
Streaming raw video — say 8 cameras × 1080p × 24/7 — to the cloud creates enormous bandwidth and storage costs. Processing at the edge keeps most video on site and sends only what's important.
Low video latency, rapid event detection and reliable continuous operation. Specific latency targets are deliberately left to be established empirically during technical design rather than quoted before they're proven.
Machine Pilot Vision™ is in beta. If you've got a critical machine you'd watch by eye if you could be there every shift, we'd like to talk about putting it on camera.
Register your interestThis page describes a product roadmap currently in beta. Capabilities and timelines may change as the platform develops.