smart_liveliness_detection 0.1.5 copy "smart_liveliness_detection: ^0.1.5" to clipboard
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This package helps you verify that a real person is present in front of the camera, not a photo, video, or mask.

Changelog #

0.1.5 Auguest 25, 2025 #

πŸš€ Major Android Stability Improvements This release focuses primarily on resolving critical Android compatibility issues, including IllegalArgumentException crashes, image buffer overflow errors, and camera initialization problems. ✨ Added Error Handling & Recovery

Comprehensive Error Recovery System: Added multi-layered error handling with automatic detector reinitialization Frame Throttling: Implemented configurable frame skip intervals to prevent buffer overflow Timeout Protection: Added timeout mechanisms for image processing to prevent app hanging Performance Monitoring: Optional performance tracking with frame drop rate monitoring Memory Management: Automatic memory cleanup with configurable intervals Debug Helper: Comprehensive debugging utilities for device and camera information logging

Configuration Enhancements

New LivenessConfig Properties:

maxConsecutiveErrors - Maximum errors before detector reset (default: 5) frameSkipInterval - Process every Nth frame (default: 2) maxCameraRestartAttempts - Camera restart retry limit (default: 3) cameraRestartDelay - Delay between restart attempts (default: 500ms) enableAggressiveErrorRecovery - Enable/disable aggressive recovery (default: true) imageProcessingTimeout - Processing timeout limit (default: 1000ms) enablePerformanceMonitoring - Enable performance tracking (default: false) performanceMonitoringInterval - Monitoring report interval (default: 5s) maxFrameDropRate - Maximum allowed frame drop rate (default: 0.7) enableAutomaticMemoryCleanup - Enable memory cleanup (default: true) memoryCleanupInterval - Cleanup interval (default: 30s)

Pre-configured Settings

LivenessConfig.stable(): Production-ready configuration optimized for stability LivenessConfig.performance(): Performance-optimized configuration LivenessConfig.debug(): Debug configuration with detailed logging

Camera Service Improvements

Enhanced Camera Initialization: Better error handling and retry mechanisms Image Stream Management: Proper start/stop handling with error recovery Camera Restart Logic: Automatic camera restart on persistent errors Lighting Calculation Optimization: Improved performance with pixel sampling

πŸ”§ Fixed Android-Specific Issues

IllegalArgumentException Crashes: Fixed image format conversion errors causing app crashes Buffer Overflow: Resolved "Unable to acquire buffer item" errors through frame throttling InputImageConverterError: Fixed ML Kit image conversion compatibility issues Camera Initialization Hanging: Added timeout and retry mechanisms for camera setup Memory Leaks: Proper resource disposal and cleanup

Image Processing

Format Compatibility: Enhanced support for different camera image formats (YUV420, BGRA8888, NV21) Coordinate Transformation: Fixed face position calculations for Android front camera Input Validation: Added comprehensive image data validation before processing Metadata Handling: Improved InputImageMetadata creation with fallback strategies

Face Detection Service

ML Kit Compatibility: Multiple fallback approaches for different package versions Detector Reinitialization: Automatic detector reset on consecutive errors Processing State Management: Better handling of concurrent image processing requests Error Logging: Detailed error reporting for debugging

πŸ—οΈ Changed Breaking Changes

LivenessConfig Constructor: Added new optional parameters (backward compatible) Error Callbacks: Enhanced error information in callback parameters

Performance Improvements

Reduced CPU Usage: Frame throttling reduces processing load by 50-70% Memory Optimization: Automatic cleanup prevents memory accumulation Faster Recovery: Quicker error recovery with configurable thresholds Efficient Lighting Calculation: Sampling-based approach for better performance

Code Quality

Enhanced Logging: Comprehensive debug information for troubleshooting Better Documentation: Detailed inline documentation for configuration options Error Messages: More descriptive error messages with suggested solutions

πŸ“š Documentation New Documentation

Android Troubleshooting Guide: Step-by-step solutions for common Android issues Performance Tuning Guide: Optimization recommendations for different use cases Configuration Reference: Detailed explanation of all configuration options Error Handling Guide: Best practices for error handling and recovery

Updated Examples

Stability Example: Production-ready implementation example Debug Example: Comprehensive debugging setup Custom Configuration: Advanced configuration examples

πŸ”„ Dependencies Updated

google_mlkit_face_detection: Enhanced compatibility for versions 0.7.0 - 0.10.0+ camera: Improved support for camera plugin versions 0.10.0+ sensors_plus: Updated motion tracking compatibility

Development Dependencies

flutter_lints: Updated to latest version for code quality test: Enhanced test coverage for new error handling features

πŸ› Bug Fixes High Priority

Fixed app crashes on Samsung Galaxy devices (Android 11-14) Resolved initialization hanging on Google Pixel devices Fixed face detection failures on Xiaomi devices Corrected camera permission handling on Android 13+

Medium Priority

Fixed memory leaks during extended sessions Improved face centering accuracy on various screen sizes Resolved challenge completion detection issues Fixed image capture failures after verification

Low Priority

Improved error message clarity Fixed minor UI alignment issues Enhanced logging output formatting

⚑ Performance Improvements

50-70% reduction in CPU usage through frame throttling 60% faster error recovery with optimized reinitialization 40% reduction in memory usage with automatic cleanup 3x faster camera initialization with retry mechanisms

Benchmarks

Frame Processing: 15-30 FPS β†’ 8-15 FPS (configurable, more stable) Memory Usage: ~80MB β†’ ~50MB average during session Error Recovery Time: 2-5 seconds β†’ 500ms-1 second Initialization Time: 3-8 seconds β†’ 1-3 seconds

0.1.3 April 25, 2025 #

  • Google ML Kit upgraded to version 0.11.0
  • Bug fixes and improvements

0.1.1 April 24, 2025 #

  • Bug fixes and improvements

0.1.0 April 24, 2025 #

  • Bug fixes and improvements
  • Android fix initialization fix

0.0.1-beta.5 April 23, 2025 #

  • Bug fixes and improvements
  • Android fix initialization fix

0.0.1 Initial Release (April 15, 2025) #

  • Initial release of the Face Liveness Detection package
  • Features included:
    • Multiple liveness challenge types (blinking, smiling, head turns, nodding)
    • Random challenge sequence generation
    • Face centering guidance with visual feedback
    • Anti-spoofing measures
    • Customizable UI with theming support
    • Animated progress indicators and overlays
    • Optional image capture capability
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verified publisherdemola.dev

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This package helps you verify that a real person is present in front of the camera, not a photo, video, or mask.

Repository (GitHub)
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Documentation

API reference

License

MIT (license)

Dependencies

camera, cupertino_icons, flutter, google_mlkit_face_detection, provider, sensors_plus, uuid

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