| layout | default-layout |
|---|---|
| title | Release Notes v11.x - Dynamsoft Barcode Reader SDK Java Edition |
| description | This is the release notes page of Dynamsoft Barcode Reader SDK Java Edition v11.x. |
| keywords | release notes, java |
| needGenerateH3Content | false |
This release includes security maintenance updates to ensure continued protection of the product.
- Updated third-party libraries to incorporate the latest security fixes.
- Fixed memory leak, crash, and hang issues in various scenarios.
- Improved stability in multi-threading operations.
- Resolved an initialization crash that occurred when running the SDK within the Spring Boot framework.
Version 11.2.1000 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.
- New Localization Models – Introduces [
OneDLocalization]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/localization-modes.html#modelnamearray) and [DataMatrixQRCodeLocalization]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/localization-modes.html#modelnamearray) neural network models for improved detection of blurred / low-resolution 1D codes, or partially damaged DataMatrix/QR codes. - Specialized Decoders – Adds [
EAN13Decoder]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) and [Code128Decoder]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) models optimized for long-distance and motion-blurred decoding scenarios. - Redesigned Deblur Model – The [
OneDDeblur]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#modelnamearray) model now provides more effective recovery from motion and focus blur. - Configurable Model Selection – The new
ModelNameArrayparameter supports flexible model loading and fine-grained control for specific barcode types.
- Enhanced Deblur Methods – [
DM_DEEP_ANALYSIS]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html#dm_deep_analysis) now includes sub-level control withOneDGeneral,TwoDGeneral, andEAN13Enhancedoptions. - Barcode Count Expectation – The new [
ExpectedBarcodesCount]({{ site.dcvb_parameters_reference }}barcode-format-specification/expected-barcodes-count.html) parameter enables format-specific quantity control and early termination in fixed-count workflows. - Improved Region Detection – The new [
RPM_GRAY_CONSISTENCY]({{ site.dcvb_parameters_reference }}image-parameter/region-predetection-modes.html#rpm_gray_consistency) mode provides more precise region extraction based on grayscale uniformity and local consistency for document and label processing.
- 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.
- 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.
- [
MaxThreadsInOneTask]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/max-threads-in-one-task.html): default changed from 4 → 0 (auto-detection). - [
IncludeTrailingCheckDigit]({{ site.dcvb_parameters_reference }}barcode-format-specification/include-trailing-check-digit.html): default changed from 1 → 0. Code128 results will no longer include the trailing check digit by default for improved compliance with standard decoding practices.
DeblurModelNameArrayargument of [DeblurModes]({{ site.dcvb_parameters_reference }}barcode-reader-task-settings/deblur-modes.html) → useModelNameArray.AppendModelBuffermethod ofCaptureVisionRouter→ use [AppendDLModelBuffer]({{ site.dcvb_java_api }}capture-vision-router/auxiliary-methods.html#appenddlmodelbuffer).
- Fixed a crash issue that occurred when calling
initLicense.
- Fixed an issue where using a callback function could cause the program to crash.
-
Workflow Improvements
- Restructured the parameter control hierarchy at all levels for finer scope definition and more granular process management, with the stage level newly added.
- Enabled custom combinations and sequences of sections, increasing flexibility and operational customization under specific conditions.
-
Deep Learning Integration
- Improved the reading rate of 1D barcode by introducing a new deblurring deep-learning model.
-
Algorithm Enhancements
- Enabled deduplication at the Region of Interest (ROI) level to consolidate results from multiple tasks.
- 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.
-
Engineering Optimizations
- Unified template-loading logic to reduce I/O overhead.
- Added support for capturing data from multi-page files, including PDF and TIFF formats.
- Implemented conversion functionality between
ImageDataand image files, including both on-disk and in-memory files.