Accuracy is a systems problem, not just a model problem

A model benchmark rarely matches production conditions. Camera placement, lighting changes and network reliability all shape what a system can actually deliver on site.

We treat accuracy as an outcome of the full pipeline: capture, inference, tracking and reporting, evaluated against the environment it runs in.

That is why every deployment starts with a discovery phase before a single model is trained or fine-tuned.