td_liveliness_detection 1.0.1

Face liveness detection for Flutter with blink, smile and head-turn challenges, an arch-shaped camera frame and selfie capture, built on Google ML Kit.

1.0.1

• Fix: face detection on iOS (BGRA8888 frames); safer camera lifecycle.
• Camera frames are requested as NV21 on Android and BGRA8888 on iOS and passed to ML Kit directly (no per-frame byte copying).
• Image stream is stopped before the selfie is taken; capture or camera start-up failures return null instead of leaving the screen stuck.
• The expressions list passed to start is no longer modified.
• Blink detection is more reliable: frames are sampled every ~120 ms, fast detector mode, and both eyes must close (a wink no longer counts).
• Frame errors are logged in debug builds instead of being silently ignored.

1.0.0

• First release.
• New camera screen: arch-shaped frame, state-coloured ring with step progress, step pills, back button, branded loader and success animation.
• Instructions shown directly below the frame.
• Camera preview no longer stretched.
• Removed debug overlays (probability values, face-point mask and toggle).
• Screen locked to portrait; haptic feedback when a step passes.
• Fixed the selfie being captured twice when frames arrive during capture.