aliveness

A Flutter package for face liveness detection — verifies that a user is a real, live person by guiding them through a sequence of randomized facial expression challenges captured via the front camera.

1.0.1 moshafDEV/aliveness

What this package is like to depend on

Last release 2 months ago

09 Jun 2026

Too new to tell

only 2 dated releases

Nearly every release is documented

notes for 2 of 2 stable releases

Nothing withdrawn

no release was ever pulled

2 months old

2 releases · first in 2026

2 releases in the last 12 months

see the full history below

Release timeline

2 releases · Jun 2026 to Jun 2026

Release Pre-release

Releases

latest 2

1.0.1 09 Jun 2026
Release notes
- Improved README: added Dependencies table, Assets setup guide, and expression detection basis details
- Clarified package description in pubspec.yaml
- Added homepage, repository, and issue tracker metadata to pubspec.yaml
- Added MIT License
Open source →
Release notes
- Improved README: added Dependencies table, Assets setup guide, and expression detection basis details
- Clarified package description in pubspec.yaml
- Added homepage, repository, and issue tracker metadata to pubspec.yaml
- Added MIT License
Open source →
1.0.0 09 Jun 2026
Release notes
Initial release of the aliveness Flutter package for face liveness detection.
- 11 built-in facial challenge expressions: smile, blink, left/right pose, nod up/down, tilt left/right, open mouth, wink left/right
- Randomized challenge order per session to prevent replay attacks
- Wrong gesture detection with real-time feedback
- Low-light detection — pauses and prompts user when ambient light is insufficient
- Per-challenge cropped face photo capture via FaceLivenessData.photos
- Haptic feedback on challenge success and wrong gesture
- Cross-platform support: iOS (BGRA8888) and Android (YUV420) camera formats
- iOS euler angle mirror correction for accurate left/right/tilt detection
- Android eye coordinate correction for consistent winkLeft/winkRight behavior
- Built on google_mlkit_face_detection, camera, and image packages
Open source →

aliveness

What this package is like to depend on

Release timeline

Releases

Every package, every release, already written down.