face_recognition_kit 1.2.0

A professional Face Recognition Kit with real-time detection, classroom-optimized recognition, and a role-based analytics dashboard.

1.2.0

• Real-Time Guidance UI: Introduced smart biometric enrollment messages (e.g., "Look straight", "Move closer").
• Neural Engine Diagnostics: Added automatic detection for missing/corrupted AI models with actionable UI feedback.
• Precision Alignment Engine: Optimized "Crop-First" strategy to eliminate coordinate drift and improve accuracy.
• 192D Biometric Distillation: Calibrated the engine for high-dimensional feature extraction.
• BGR Color Support: Updated neural input processing to support BGR channel order (standard for converted CV2/InsightFace models).
• Tuned Security Threshold: Calibrated standard matching threshold to 0.58 for optimal classroom/office usage.
• Documentation Overhaul: Complete professional README upgrade with technical architecture and implementation guides.

1.1.0

• Package Rename: Renamed officially to face_recognition_kit.
• SDK Precision Overhaul:
  • Refactored FaceScannerView with FittedBox for pinpoint coordinate alignment.
  • Fixed "flipped" mirroring issue on Web front cameras.
• Biometric Cropping:
  • Hardware-accelerated Canvas cropping for Web.
  • Robust face-only capture mode for Mobile.
• Improved Scanner Intelligence:
  • Single-Face Mode: Optimized engine to focus on one subject.
  • Status-Aware Dialogs: Confirmation pop-ups now trigger only on successful matches.
• Showcase Example: Overhauled the example app with Identity Registry, Metrics Dashboard, and a Live Neural Scanner.
• Branding & API: Renamed all core classes from "Attendance" to "Recognition" (Dialogs, Status, etc.).
• Dependency Clean-up: Updated all plugins to latest versions and optimized Web registration.

1.0.0+1

• Initial Professional Release: Full Facial Attendance SDK with College Dashboard.
• Role-Based Portals: Added "Faculty Dashboard" and "Classroom Terminal" modes.
• Automated Enrollment: New confirmation dialog with biometric signature extraction.
• Web Recognition Support: Integrated MediaPipe Vision tasks via ES Modules and JS-Interop.
• Analytics Hub: Weekly trends and participation analytics.