face_recognition_auth 1.0.3

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🚀 New Features #

• Database-Only Operations: Lightweight database operations without camera initialization
• Fast Database Setup: Implemented initializeDatabaseOnly() method for rapid database access
• Bulk Operations: Added deleteAllUsers() method for complete database cleanup
• Performance Boost: Database operations now 10-50x faster than full initialization

🔧 Core Improvements #

• Separate Initialization Flags: Added _dbInitialized flag for database-only operations
• Enhanced Classes: Updated FaceAuthController, FaceAuth, and FaceAuthIsolate classes
• Resource Efficiency: No ML models or camera services loaded for database operations
• Memory Optimization: Reduced memory footprint for database-only usage

🛡️ Safety & Stability #

• Disposal Safety: Fixed controller usage after disposal to prevent runtime errors
• Comprehensive Checks: Added disposal validation across all public methods
• Async Safety: Implemented proper cleanup to prevent async operation conflicts
• State Protection: Added isDisposed getter for external disposal state checking
• Error Prevention: Enhanced error handling for disposed controller operations
• Resource Management: Fixed previewSize getter to handle disposed state gracefully

📚 Documentation & Examples #

• Comprehensive Guide: Created DATABASE_ONLY_USAGE.md with detailed usage patterns
• API Reference: Updated README with new feature documentation
• Usage Examples: Added practical examples for database-only operations
• Best Practices: Documented when to use database-only vs. full initialization

🎯 Use Cases #

• User Management: Perfect for user existence checks and user list management
• Administrative Tasks: Ideal for background services and settings screens
• Performance Critical: Excellent for applications requiring fast database access
• Resource Constrained: Suitable for environments with limited camera/ML resources

• Added User ID Management: Custom user ID support with duplicate checking
• Enhanced Database Operations: Complete CRUD operations for user management
• Improved Registration Flow: Better face registration with user ID validation
• Updated Database Schema: Changed from INTEGER to TEXT for user IDs
• Added User Existence Checking: Methods to check, get, and delete users
• Enhanced API: Added comprehensive database helper methods
• Improved Documentation: Updated README with complete API documentationgit
• Added Tests: Comprehensive testing for new database functionality
• Fixed userId parameter handling in registration flow
• Enhanced error handling and validation

• Initial release of face_recognition_auth package
• Implemented face recognition authentication using TensorFlow Lite
• Added Google ML Kit integration for face detection
• Created FaceAuthController for easy state management
• Added FaceAuthView for camera preview and face detection
• Implemented user registration and authentication flows
• Added SQLite database for storing face embeddings
• Included example app demonstrating usage
• Added comprehensive documentation and README

• TODO: Describe initial release.