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Copy file name to clipboardExpand all lines: programming/maui/api-reference/capture-vision-router/multiple-file-processing.md
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|[`StopCapturing`](#stopcapturing)| Stops the capturing process. |
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|[`AddResultFilter`](#addresultfilter)| Adds a `CaptureResultFilter` object to filter non-essential results. |
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|[`RemoveResultFilter`](#removeresultfilter)| Removes the specified `CaptureResultFilter` object. |
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|[`SwitchCapturingTemplate`](#switchcapturingtemplate)| Switch the image processing settings with the CaptureVisionTemplate name during the image processing workflow. |
`[in] filter`: The filter object, of type [`CapturedResultFilter`]({{ site.dcv_maui_api }}capture-vision-router/auxiliary-classes/captured-result-filter.html).
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## SwitchCapturingTemplate
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Switch the image processing settings with the CaptureVisionTemplate name during the image processing workflow.
Copy file name to clipboardExpand all lines: programming/maui/api-reference/utility/image-processor.md
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| Method | Description |
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| ------ | ----------- |
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| [`CropImage`](#cropimagerect) | Crops an image based on the provided rectangle or quadrilateral. |
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| [`CropImage`](#cropimagequadrilateral) | Crops an image based on the provided rectangle or quadrilateral. |
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| [`CropAndDeskewImage(imageData,quadrilateral,dstWidth,dstHeight,padding)`](#cropanddeskewimageimagedataquaddstwidthdstheightpaddingerrorcode) | Crops and deskew an image based on the provided quadrilateral and additional information. |
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| [`CropAndDeskewImage(imageData,quadrilateral)`](#cropanddeskewimageimagedataquad) | Crops and deskew an image based on the provided quadrilateral. |
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| [`AdjustBrightness`](#adjustbrightness) | Adjusts the brightness of an image. |
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| [`AdjustContrast`](#adjustcontrast) | Adjusts the contrast of an image. |
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| [`FilterImage`](#filterimage) | Applies a filter to an image. |
Version 3.2.1000 introduces a series of AI-driven improvements designed to enhance barcode and MRZ detection accuracy, processing speed, and configuration flexibility.
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This release focuses on practical performance gains for production environments across retail, logistics, manufacturing, and identity verification workflows.
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### ✨ Key Highlights
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#### AI-Powered Barcode Detection and Decoding
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- 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**.
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- 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.
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- 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**.
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- Configurable Model Selection – The new `ModelNameArray` parameter supports flexible model loading and fine-grained control for specific barcode types.
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#### Precision and Processing Control
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- 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 with `OneDGeneral`, `TwoDGeneral`, and `EAN13Enhanced` options.
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- 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.
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- 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.
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#### AI-Powered MRZ Detection
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- Neural MRZ Localization – The new [`MRZLocalization`]({{ site.dcvb_parameters_reference }}label-recognizer-task-settings/localization-modes.html#modelnamearray) model improves region detection accuracy and delivers up to **42.7%** faster processing for MRZ-based document workflows.
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- Configurable Localization Control – The new [`LocalizationModes`]({{ site.dcvb_parameters_reference }}label-recognizer-task-settings/localization-modes.html) parameter allows configuration for text line detection.
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#### Smart Document Capture
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- Clarity-Based Frame Selection – Automatically selects the sharpest and highest-quality frame in live capture workflows.
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- Cross-Frame Verification – Updated verification algorithms enhance result reliability.
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### Performance Highlights
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#### Barcode Workflows
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- Up to **26.5%** higher read rates under blur conditions with as much as **44%** faster processing.
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- Reliable decoding of DataMatrix and QR codes with missing or damaged finder patterns.
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- Extended operational range beyond 75 cm for long-distance barcode scanning.
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#### Document Workflows
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- Improved performance in live video capture environments.
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- Consistent document quality through clarity-based frame evaluation.
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- Faster MRZ processing for high-throughput identity verification
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### Developer Notes
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- Backward Compatibility – Fully compatible with existing integrations; no code-level changes required for upgrade.
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- Configuration Flexibility – Expanded parameter set allows comprehensive model configuration for scenario-specific tuning.
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- Production Stability – All new models validated in enterprise environments.
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### New
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- Added a new method, [`switchCapturingTemplate`]({{ site.dcv_maui_api }}capture-vision-router/multiple-file-processing.html#switchcapturingtemplate), which allows switching templates dynamically during the image processing workflow.
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- Added a new method, [`clearDLModelBuffers`]({{ site.dcv_maui_api }}capture-vision-router/settings.html#cleardlmodelbuffers), to release memory by clearing buffered deep learning models.
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- Added a new method, [`setGlobalIntraOpNumThreads`]({{ site.dcv_maui_api }}capture-vision-router/settings.html#setglobalintraopnumthreads), to configure the global number of threads used for model execution.
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- Added a new button, `cameraToggleButton`, to the `CameraView`, allowing users to switch between the front and back cameras.
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The following APIs are provided for configuring the `cameraToggleButton`:
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