face_recognition_engine 1.0.3

On-device face recognition for Flutter using MobileFaceNet embeddings and cosine matching, with multi-angle enrollment storage and anti-spoofing hooks.

1.0.3

• Added a screenshots section to the README showing the enrollment, liveness and live-recognition screens.

1.0.2

• Reordered the pub.dev screenshots so the identified-result dialog comes first and is used as the package thumbnail.

1.0.1

• Fixed the enrollment status text running two prompts together while capturing, e.g. "Hold still — capturing Turn your head right". It now reads "Hold still — capturing the right profile".
• Added screenshots of the enrollment, liveness and live-recognition flows to the pub.dev listing.

1.0.0

First public release.

• FaceRecognitionKit.enroll(context, ...) — opens a guided multi-angle camera and returns the captured embeddings (+ a front-pose JPEG) as an EnrollmentResult.
• FaceRecognitionKit.detect(context, candidates: ...) — opens a live camera, runs the configured liveness / anti-spoofing checks, and returns the matched FaceProfile as a DetectionResult.
• EnrollmentScreen / DetectionScreen widgets for custom navigation.
• FaceRecognizer — headless engine: load a model, embed a frame, identify probes.
• FaceProfileStore — file-backed multi-angle enrollment storage.
• RecognitionConfig — immutable, JSON-serialisable thresholds for recognition and liveness / anti-spoofing; drives both flows.
• SpoofDetector — passive texture/CNN anti-spoofing (bring your own model).
• FaceRecognitionUtil — low-level NV21 decode, crop, embed and cosine-match primitives.
• No model is bundled — supply a MobileFaceNet .tflite (112×112 → 192-d) via modelAsset: or modelBytes:. See the README "Model & license" section.