face_recognition_engine 1.0.0

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

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.