dynamsoft_barcode_reader_bundle_flutter 11.6.2000

The Dynamsoft Barcode Reader Flutter SDK provides a wrapper for building barcode scanning applications with Flutter SDK.

11.6.2000

Highlights

Multi-Threaded Barcode Decoding

• Get results sooner with parallel processing - Barcode decoding now uses a breadth-first strategy that decomposes a single DBR Task into one Localization Work and one or more Decoding Works. This improves thread utilization and reduces the chance that a slow DeblurMode attempt blocks other faster decoding attempts, helping valid results come back sooner.

DataMatrix Color Inversion Detection

• Handle normal and inverted DataMatrix more efficiently - Added AutoDetectColorInversion to automatically handle both normal and inverted DataMatrix barcodes. Instead of processing the whole image twice, the SDK applies dual-polarity handling only to localized DataMatrix regions, which makes processing faster in dual-polarity scenarios.

New

• Added AutoDetectColorInversion parameter for BarcodeFormatSpecification to support automatic color-inversion detection for DataMatrix barcodes.

Changed

• MaxParallelTasks now controls the total number of Work-level threads in the CVR thread pool. For DBR tasks, each Localization Work and Decoding Work occupies one thread slot. DLR and DDN tasks continue to occupy one thread per task.

• set_device_friendly_name() now enforces parameter constraints: maximum 64 characters, allowed characters are letters (a-z, A-Z), digits (0-9), hyphen (-), underscore (_), and period (.), and must start and end with a letter or digit.

• Improved the default display behavior of corner adjustment points in ImageEditorView. Previously, users had to tap the view before the corner adjustment points became visible.

Fixed

• Fixed an issue in GS1-Databar AI 17 (YYMMDD) results where the month field could be missing a leading zero.

11.4.3000

Security Updates

• Updated third-party libraries to incorporate the latest security fixes.

11.4.1300

Fixed

• Fixed crash and hang issues that could occur in certain scenarios.

11.4.1200

Highlights

AI-Powered Barcode Detection and Decoding

• PDF417 Localization Model – Introduces the PDF417Localization neural network model for improved detection of PDF417 barcodes, especially under challenging conditions.
• Code39/ITF Decoding Model – Adds the Code39ITFDecoder model for enhanced decoding of Code 39 and ITF barcodes under blurred or low-resolution conditions.
• Deblur Models for 2D Barcodes – Adds the DataMatrixQRCodeDeblur and PDF417Deblur models provide more effective recovery from motion and focus blur for DataMatrix, QR Code, and PDF417 barcodes.

ECI (Extended Channel Interpretation) Support

• ECI Information Return – Adds support for retrieving Extended Channel Interpretation (ECI) data from barcodes. The new ECISegment class, along with getECISegments method in BarcodeResultItem class, enable access to character encoding information embedded in barcodes.
• ECI-Based Text Interpretation – Adds support for interpreting ECI segments during barcode decoding, improving compatibility with international character sets.

Performance Improvements

• On-Demand Model Loading – Implements lazy loading for AI models, reducing initialization time by loading models only when first needed.
• Smart Model Selection – Models are now loaded based on configured barcode formats, minimizing memory usage by excluding unused models.
• Improved Confidence Scoring – Enhances confidence score calculation for results from neural network models, providing more accurate quality indicators.
• DPM Barcode Optimization – Improves recognition rate for Direct Part Marking (DPM) barcodes commonly used in industrial and manufacturing environments.

New

• Added BarcodeZoneWidthToHeightRatioRangeArray parameter for filtering barcodes based on aspect ratio constraints.
• Added setResultCrossVerificationCriteria and getResultCrossVerificationCriteria methods to MultiFrameResultCrossFilter for configurable multi-frame result verification.
• Added a new resolution max for capturing photos at maximum resolution (3024*4032).

Changed

• Barcode text encoding fallback changed from UTF-8 to ISO-8859-1 when no ECI information is present in the barcode.
• Updated default value of compensation parameter in ImageProcessor.convertToBinaryLocal from 0 to 10.
• convertToBinaryGlobal and convertToBinaryLocal of ImageProcessor class now support color and binary images as input in addition to grayscale images.

Removed

• Removed DataMatrixModuleIsotropic parameter – use BarcodeZoneWidthToHeightRatioRangeArray instead.
• Removed MinRatioOfBarcodeZoneWidthToHeight parameter – use BarcodeZoneWidthToHeightRatioRangeArray instead.

Improved

• Updated camera lifecycle management code to improve stability.

Fixed

• Fixed incorrect coordinate in barcode result when using neural network models with a specified region.
• Fixed crash and hang issues that could occur in certain scenarios.
• Fixed various minor bugs and improved overall stability.
• Fixed an issue where downloading deep learning models could fail.

11.2.5000

This release includes security maintenance updates to ensure continued protection of the product.

Security Updates

• Updated third-party libraries to incorporate the latest security fixes.

11.2.3000

🎉Milestone Release

Version 11.2.3000 introduces a series of AI-driven improvements designed to enhance barcode detection accuracy, processing speed, and configuration flexibility.

This release focuses on practical performance gains for production environments across retail, logistics, and manufacturing workflows.

✨ Key Highlights

AI-Powered Barcode Detection and Decoding

• New Localization Models – Introduces OneDLocalization and DataMatrixQRCodeLocalization neural network models for improved detection of blurred / low-resolution 1D codes, or partially damaged DataMatrix/QR codes.
• Specialized Decoders – Adds EAN13Decoder and Code128Decoder models optimized for long-distance and motion-blurred decoding scenarios.
• Redesigned Deblur Model – The OneDDeblur model now provides more effective recovery from motion and focus blur.
• Configurable Model Selection – The new ModelNameArray parameter supports flexible model loading and fine-grained control for specific barcode types.

Precision and Processing Control

• Enhanced Deblur Methods – DM_DEEP_ANALYSIS now includes sub-level control with OneDGeneral, TwoDGeneral, and EAN13Enhanced options.
• Barcode Count Expectation – The new ExpectedBarcodesCount parameter enables format-specific quantity control and early termination in fixed-count workflows.
• Improved Region Detection – The new RPM_GRAY_CONSISTENCY mode provides more precise region extraction based on grayscale uniformity and local consistency for document and label processing.

Performance Highlights

• Up to 26.5% higher read rates under blur conditions with as much as 44% faster processing.
• Reliable decoding of DataMatrix and QR codes with missing or damaged finder patterns.
• Extended operational range beyond 75 cm for long-distance barcode scanning.

Developer Notes

• Backward Compatibility – Fully compatible with existing integrations; no code-level changes required for upgrade.
• Configuration Flexibility – Expanded parameter set allows comprehensive model configuration for scenario-specific tuning.
• Production Stability – All new models validated in enterprise environments.

New

• Added a new method, switchCapturingTemplate, which allows switching templates dynamically during the image processing workflow.
• Added a new method, clearDLModelBuffers, to release memory by clearing buffered deep learning models.
• Added a new method, setGlobalIntraOpNumThreads, to configure the global number of threads used for model execution.
• Added a cameraToggleButton and cameraToggleButtonVisible, to the CameraView, allowing users to switch between the front and back cameras.
• Added AztecDetails, DataMatrixDetails, OneDCodeDetails, QRCodeDetails, allowing users to access detailed information for each barcode.
• Added ImageIO, ImageProcessor and ImageDrawer, allowing users to load, process, and draw images for easier image manipulation and visualization.
• Added the rawValue property to the ParsedField class, allowing users to access the original value of a parsed field.

Changes

• Refactored the getOriginalImage API by moving it from CaptureVisionRouter to IntermediateResultManager.
• ImageManager has been deprecated.

11.0.5201

• Fixed
  • Small fixes and tweaks.

11.0.5200

• Initial release of dynamsoft_barcode_reader_bundle Flutter plugin.
• Introduced a new BarcodeScanner component, offering a faster and easier way to integrate barcode scanning into your apps.
  • BarcodeScanner: The main class of BarcodeScanner component. It is an activity class that implements barcode decoding features.
  • BarcodeScannerConfig: The class that provides barcode scanning configurations.
  • BarcodeScanResult: The result class.
  • EnumResultStatus: An enumeration class that describes the result status.
• Improved barcode decoding performance.
  • Improved the reading rate of 1D barcode by introducing a new deblurring deep-learning model.
  • Improved the CODE_128 and DataMatrix DeepAnalysis algorithms for better decoding accuracy and performance.
  • Added support for new barcode types: CODE_32, MATRIX_25, KIX, and TELEPEN.
  • Added GS1 Application Identifiers (AI) support for improved code parsing capabilities.