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Why This Matters

FaceFind and BibTrack are the two AI capabilities that make 9Pic galleries usable at scale. Participants don’t browse 5,000 race photos linearly — they upload a selfie or punch in a BIB number and get just their photos in seconds. On Pro you get production-grade accuracy on both, so the operator’s job is mostly about turning them on at event creation and knowing how to debug when something looks wrong.

Before You Begin

  • You’re on Pro and have at least one event created.
  • For FaceFind: every photo needs a recognisable face crop. Wide-angle crowd shots still work, but the closer the face, the better the match score.
  • For BibTrack: every BIB number needs to be readable in the photo. If your event uses non-standard BIBs (very small, on the back only, partial obstruction), test with 50 sample photos before processing the full set.

How They’re Configured

Both features are per-event toggles, set when you create the event (and editable later from the event’s Configuration tab): You can flip both on, both off, or just one — and you can change your mind later from the Configuration tab. Toggling a feature on after some photos are already processed will queue those photos for re-processing. For the underlying pipeline reference, see AI Analysis.

Steps to Tune for an Event

1

Toggle Selfie Search and BIB Search at event creation

On Create New Event → Photo Memories, flip on the searches you need. You can change these later — they’re not one-way switches.
Photo Memories card on Create New Event showing Selfie Search and Bib Number Search toggles turned on for an endurance event

Photo Memories search toggles

2

Run a small test batch first

Add 30–50 sample photos to the event’s image source and click Sync Images. Once processing finishes, search by:
  • A teammate’s selfie (FaceFind).
  • A known BIB number from one of the test photos (BibTrack).
If both return the right photos, scale up to the full set.
3

Process the full set

Add the remaining photos to the source folder and click Sync Images again. Only the new photos consume credits — already-processed photos are skipped automatically.
For events over 10,000 photos, sync in waves of ~2,000–3,000 so you can spot-check results between batches. If something looks off in batch 1, you can fix it before paying for batch 2.
4

Verify the participant search experience

Open the public event page (use Open Link from the event header) and run a search as a participant would:
  • Upload a selfie → confirm a clean set of matching photos comes back.
  • Type a BIB number → confirm the right photos surface.
If results are off, see the troubleshooting section below.

When Search Results Look Wrong

For full search-debugging walkthroughs, the dashboard guide has dedicated pages: Search not working.

Production-Scale Tips

  • Standardise photographer briefs. Photographers who shoot for 9Pic galleries get noticeably better results when they’re told: “wide enough to capture the BIB or face clearly, but not so wide the face is < 100 px.”
  • Batch your processing per source. If you have three photographers dropping into three different folders, process each source separately so you can spot-check per-source quality.
  • Never re-process for “fun.” Re-processing already-processed photos doesn’t consume new credits, but it does add load. Only re-process when you’re toggling FaceFind or BibTrack on for an event that previously didn’t have it.
  • Watch credit consumption mid-event. If you’re at 80% of your credit balance, top up before the next sync. Processing pauses partway through is the most common operator pain point. See Credits & Top-ups.

Common Questions

Yes. The model and the indexing pipeline are identical across all paid plans. Pro and Enterprise differ on platform features (Checkout, custom gateways, SLAs), not on AI quality.
No. 1 processed photo = 1 credit, regardless of how many AI indexes are applied. Toggling both searches on does not double-charge.
Yes. The dashboard will queue the existing photos for BIB indexing on the next Sync. No extra credits are charged for re-indexing photos already processed for the photo pipeline.
Yes — they’re independent search modes. The participant gallery shows both options when both are enabled on the event.
Selfies uploaded for search are used only to compute a temporary face embedding for the search query and are not retained as gallery photos. For specifics, see the API Reference: Face Search.

Next Steps

Motion & Flow

Layer short videos and AI reels on top of FaceFind / BibTrack.

AI Analysis Reference

Deep reference for the AI indexing pipeline.

Troubleshooting Search

Specific debugging steps when search misbehaves.

Buzz, Certify, Select

Stack creative tools on top of search.