Smart grouping

A single animal walking past a camera rarely triggers one photo — it triggers a burst of ten or twenty, seconds apart. Reviewed frame by frame, that's a flood. Smart grouping collapses each burst into a single, tidy event.

How frames become an event

Photos captured close together in time on the same camera are recognised as one trigger and grouped automatically. Instead of twenty near-identical thumbnails, you see one event with the best frames inside it.

Made coherent by recognition

Because every frame has already been analysed, the event arrives labelled: which species is present, how many animals, whether a person or vehicle was involved. A burst of a browsing roe deer becomes "Roe deer — 1 animal," not a wall of pictures you have to interpret. When the frames agree on species and count, the event is shown with confidence; when they disagree, that's surfaced for a quick look.

Why it matters

Trail-camera libraries balloon precisely because of bursts. Grouping them is the difference between scrolling for an hour and skimming a clean timeline of visits. Each event becomes one decision — keep, tag, share or discard — instead of twenty.

A note on how it works: grouping is based on capture time and camera, enriched by the AI's species and counts. It organises a visit into one entry rather than visually re-identifying the specific individual across frames — but the result reads the same either way: your library becomes events, not raw frames.