What this means in practice

  • Collect past trail camera photos that reviewers have already labeled, including many empty frames
  • Label the species the survey tracks, plus people, vehicles and empty scenes
  • Run each new memory card batch through the model and group photos by camera and suggested label
  • Have a trained reviewer confirm or correct each label and send rare or unclear sightings to an expert
  • Add confirmed and corrected labels back into training so the model fits the local cameras and habitat

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.