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Nara Overview

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Using Nara

Components

Common Process InputsBrightnessCircle Detection1D/2D Code ReaderColor DetectionColor ThresholdContrastMulti CropCropDetection Count ZonesFace DetectionFace RecognitionFeature MatchingFire & Smoke DetectionFlipGeneral Object DetectionImage ClassificationImage SimilarityKey Points DetectionNumber Plate ReaderObject DetectionOCRPose EstimationResizeRotateSaturationInstance SegmentationWatershed SegmentPolygon DetectionWhite Balance

Miscellaneous

Nomenclature
Troubleshooting
Notice and DisclaimerEULA
NodesProcess

Multi Crop

Slot Usage: 0

Overview

Multi Crop node extracts up to eight independent crop regions from a single input frame in one execution pass.

Use this node when your flow needs to analyze multiple fixed regions of the same frame simultaneously — for example inspecting several inspection zones on a conveyor belt, or reading plates from multiple lanes in a single camera view. It is more efficient than chaining multiple individual Crop nodes.

Input

Input Image

image required

The image frame to crop from. Connect this to a camera or upstream processing output.

Multi-Crop Configuration

array required

List of crop entries to extract. Each entry supports the same crop types as the Crop node:

  • Rectangular crop (cropBox) — defined by x, y, width, height in image pixel coordinates.
  • Perspective crop (cropPerspective) — defined by four corner points [x, y] that are warped into a flat rectangular output.

Maximum entries: 8. Entries beyond the eighth are ignored. Output slots are numbered sequentially (crop1 to crop8) and match the order of entries in this list.

Output

Crop 1 to Crop 8

image

Up to eight cropped image outputs (crop1, crop2, ..., crop8). Each slot corresponds to the entry at the same position in Multi-Crop Configuration. Slots without a configured entry are not produced.

Contrast

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OverviewInputInput ImageMulti-Crop ConfigurationOutputCrop 1 to Crop 8