Running YOLO at the pit edge when the uplink drops

At most remote sites, connectivity is the first thing to fail and the last thing to come back. A cloud-only vision system goes blind the moment the link drops, which is exactly when you can least afford it. So the platform was designed offline-first from day one.

Every site runs a ruggedized edge node that ingests the existing camera feeds and executes detection locally. Models are quantized and tuned to run in real time on modest hardware, so a PPE breach or an intrusion is flagged in milliseconds, with or without a connection to the outside world.

When the uplink is available, the node syncs detections, clips, and telemetry to the cloud digital twin. When it isn't, everything is buffered and forwarded the moment the link returns. Operators never notice the gap, and no event is ever lost.

The result is a system that behaves the same on a clear day in town as it does in a dust storm two hundred kilometres from the nearest tower. That reliability, not raw model accuracy, is what makes edge AI usable in the field.