flutter_liveness 0.0.2
flutter_liveness: ^0.0.2 copied to clipboard
On-device face liveness detection for Flutter using a MobileNetV2 model. Detect spoof attacks from photos and videos, no internet required.
0.0.2 #
- update LivenessResult
0.0.1+3 #
- update meta data
0.0.1+2 #
- update meta data
0.0.1+1 #
- update meta data
0.0.1 #
- On-device face liveness / anti-spoofing detection
- Bundled MobileNetV2 TFLite model (MIT licensed)
- Image normalization + resize pipeline
- Laplacian blur / clarity filter
- TensorFlow Lite isolate execution for performance
- Simple async API:
- FlutterLiveness.create()
- liveness.analyze(img)
- liveness.dispose()
- Works offline, real-time capable
- Configurable thresholds & options