Release Notes for .NET Edition - 11.x

11.2.1000 (10/14/2025)

🎉Milestone Release

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.

✨ 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

Barcode Workflows

• 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.

Changed

Parameter Defaults

• MaxThreadsInOneTask: default changed from 4 → 0 (auto-detection).
• IncludeTrailingCheckDigit: default changed from 1 → 0. Code128 results will no longer include the trailing check digit by default for improved compliance with standard decoding practices.

Deprecations

• DeblurModelNameArray argument of DeblurModes → use ModelNameArray.
• AppendModelBuffer method of CaptureVisionRouter → use AppendDLModelBuffer.

Fixed

• Fixed an issue where MultiFrameResultCrossFilter was not working properly.

11.0.6000 (08/06/2025)

Changed

• StartCapturing now stops immediately and returns a license-related error code if none of the tasks have a valid license, instead of proceeding and returning an empty result.

Fixed

• Fixed a bug that caused a crash when using a specific type of license.
• Fixed a crash that occurred when calling the default constructor of FileImageTag or VideoFrameTag.
• Fixed various minor bugs and improved overall stability.

11.0.4000 (07/15/2025)

New

• Tile-Based TIFF Image Support: Added support for TIFF images with tile-based storage format.

• Base64 String Conversion: Enabled bidirectional conversion between ImageData and Base64 strings.

• Template Version Validation: Introduced version checking for templates to prevent compatibility issues and mismatches.

Changed

• License Validation Behavior: Instead of stopping execution immediately on an invalid license module, the library now continues processing and returns results from modules with valid licenses. An error is still reported to indicate the license issue.

• PDFR License Control Removal: Removed the license check for the PDFR module.

• Property Renamed in PDFReadingParameter: The property dip has been renamed to dpi to fix a naming error.

Fixed

• Fixed various minor bugs and improved overall stability.

11.0.3000 (05/13/2025)

Highlights

• 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 ImageData and image files, including both on-disk and in-memory files.