Release Highlights
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WORKFLOW IMPROVEMENTS
Restructured the parameter control hierarchy
Restructured the parameter control hierarchy at all levels for finer scope definition and more granular process management, with the stage level newly added.
- CVTemplate
- ROI
- Task
- Section
- Stage
- ImageParameter
CaptureVision Template
CaptureVision Template
Name
ImageSourceName
OutputOriginalImage
ImageROIProcessingNameArray
SemanticProcessingNameArray
MaxParallelTasks
Timeout
MinImageCaptureInterval
CaptureVision Template
ROI Definition
Name
TaskSettingNameArray
BaseTargetROIDefName
Location
EnableResultsDeduplication
CaptureVision Template
BarcodeReaderTask
Name
ExpectedBarcodesCount
BarcodeFormatIds
DPMCodeReadingModes
TextResultOrderModes
BaseBarcodeReaderTaskSettingName
BarcodeFormatSpecificationNameArray
SectionArray
CaptureVision Template
BarcodeDecodingSection
Section
ImageParameterName
StageArray
CaptureVision Template
ResistDeformationStage
Stage
DeformationResistingModes
CaptureVision Template
ImageParameter
Name
ApplicableStages
ScaleImage Stage
ConvertToGrayscale Stage
ColourConversionModes
EnhanceGrayscale Stage
BinarizeImage Stage
...
WORKFLOW IMPROVEMENTS
Flexible section combinations
Enabled custom combinations and sequences of sections, increasing flexibility and operational customization under specific conditions.
WORKFLOW IMPROVEMENTS
Redesigned document normalization sections
Redesigned document normalization sections to better accommodate diverse document processing operations.
DEEP LEARNING INTEGRATION
Deblurring barcodes
Improved the reading rate of 1D barcode by introducing a new deblurring deep-learning model.
DEEP LEARNING INTEGRATION
End-to-end text-line recognition
Enhanced text recognition capabilities with deep learning-based text-line recognition.
ALGORITHM ENHANCEMENTS
Enabled deduplication at the ROI level
Enabled deduplication at the Region of Interest (ROI) level to consolidate results from multiple tasks.
ALGORITHM ENHANCEMENTS
Multi-step recognition and validation
Enhanced the text recognition workflow by integrating improved multi-step recognition processes and validation methods.
TextLine Recognition Model
F2N09 AU6
Character Feature scorer
F2N09 AU6
Confusable Character Corrector
F2NO9 AU6
Character Recognition Model
F2HO9 AU6
Character Overlapping Matcher
F2HO9 AU6
Regex Corrector
P2HO9 AU6
Dictionary-Based Corrector
P2HO9 AUG
1) TextLine Recognition Model
Goal: Recognize a text-line using an end-to-end CRNN model.
Step Result: The initial recognition result was "F2N09 AU6"
2) Character Feature Scorer
Goal: Analyze individual character feature scores and identify suspicious characters.
Step Result: Characters "N" and "0" were flagged as suspicious.
3) Confusable Character Corrector
Goal: Correct confusable characters such as (0, o, O), (l, i, 1), etc., based on standard font characteristics.
Step Result: "0" was corrected to "O".
4) Character Recognition Model
Goal: Recognize characters with low feature scores.
Step Result: "N" was corrected to "H", but the model’s confidence score is low.
5) Character Overlapping Matcher
Goal: Recognize broken or overlapping characters with both low feature scores and low model confidence scores.
Step Result: "N" was corrected to "H".
6) Regex Corrector
Goal: Correct misrecognized characters by applying regex patterns.
Regex Pattern: "^P.*"
Step Result: "F" was corrected to "P".
7) Dictionary-based Corrector
Goal: Correct misrecognized characters by matching against a custom dictionary.
Dictionary: "AUG"
Step Result: "AU6" was corrected to "AUG".
ALGORITHM ENHANCEMENTS
Improved the CODE_128 and DataMatrix
Improved the CODE_128 and DataMatrix DeepAnalysis algorithms for better decoding accuracy and performance.
ALGORITHM ENHANCEMENTS
Support for CODE_32, MATRIX_25, KIX, and TELEPEN Barcodes
Added support for new barcode types: CODE_32, MATRIX_25, KIX, and TELEPEN.
ALGORITHM ENHANCEMENTS
Support for GS1 Application Identifiers (AI)
Added GS1 Application Identifiers (AI) support for improved code parsing capabilities.
