What this means in practice

  • Test on images from your real cameras, lighting and locations, not demo data.
  • Separate the two kinds of error — missed items and false alarms — because they cost different things.
  • Route low-confidence results to a person instead of forcing a decision.
  • Re-check accuracy when cameras, sites or conditions change.

How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.