1 face
SafeWhy? All faces are on the consent list as Include.
Know every face has consent before you publish.
FaceGate checks every photo against your enrolled consent list - entirely on the device - so schools and childcare centres can publish with confidence. Nothing is uploaded. No cloud. No third parties. No surprises.
- No cloud calls
- Runs on the phone
- Open-source face model
Consent gate
Explicit opt-in before a single frame is scanned.
Slide 1 of 5: Consent gate. Explicit opt-in before a single frame is scanned.
- 100% on-device
- No central database
- Full audit trail
- Australian-built
Try it
Flip a person’s status. Watch the photos re-classify.
Three illustrated photos, three enrolled people. Toggle Include ↔ Exclude and watch the verdict shift - the same rules the app applies on-device: any Exclude face → Unsafe; any unknown face → Review; otherwise Safe.
Toggling consent here changes the verdict only - not the photo. In the real app, redaction (a blur or emoji overlay) is a separate operator step after the verdict.
2 faces
UnsafeWhy? Blake is Excluded and confidently matched.
3 faces
ReviewWhy? An unknown face was detected - flagged for human review.
Consent list
Illustrative. The same logic runs on your device with no network calls.
Alex
Blake
Casey- Not on list
Unknown
Every photo a school publishes might contain someone who didn’t consent.
Consent is now a legal posture
Children's biometric and image data sits squarely inside modern privacy law. A single missed consent isn't an oversight any more - it's a notifiable issue.
Manual review doesn't scale
A sports day or production can produce hundreds of photos in an afternoon. Eyeballing each one for non-consenting faces is slow, tiring, and error-prone.
Cloud tools are the wrong trade
Most off-the-shelf face recognition uploads photos to a vendor's servers. Using one means sending children's faces to a third party to solve a privacy problem.
The risk isn’t a bad photo getting through - it’s not knowing you let one through.
A phone app that screens photos against a consent list - before they go anywhere.
Stays on the phone
Faces never leave the device. No cloud. No third parties.
Consent-aware
Tag people as Include or Exclude. The app handles the rest.
Fast on a batch
Scans dozens of photos and gives you a verdict per image.
Publish-ready
Cover faces with a blur or emoji, export, done. Full audit trail.
Built so you can replace manual review with a structured, auditable workflow.
Same workflow you’d do by hand - just structured and fast.
1
Enrol
Add the people whose consent you're tracking. One clear photo each is enough to start.
2
Scan
Select the day's photos or take a photo. It detects and recognises faces.
3
Classify
Each photo lands in one of three buckets: Safe, Unsafe, or Review.
4
Publish
Cover non-consenting faces, export, post.
Every step runs locally on the phone - no internet required.
Designed around modern Australian privacy law.
FaceGate is built around the Australian Privacy Principles (the national rules for handling personal information) and the WA Privacy and Responsible Information Sharing Act 2024. All biometric data stays on-device - no cloud upload, no cross-border transfer, no central store to breach. Every action is timestamped in the on-device audit log.
100% on-deviceNo cloud uploadFull audit trail
The internetNot connected
Nothing leaves your phone
Your phone
- Photo
- Detect
- Match
- Verdict
Built for schools and childcare - exploring more.
Want to see it on your photos?
Tell us about your photo-screening situation - we'll be in touch within two business days.