Color Detection

Overview

Color Detection node finds regions that match configured color rules and returns their outlines as detection contours.

Use this node to locate objects by color in scenes where the target has a consistent, distinguishable hue — for example colored caps on bottles, zone markings on a floor, or colored indicators on equipment. Pair it with downstream nodes such as Detection Count Zones or logic nodes that act on the contour data.

Input

Input Image

image required

The image frame to analyze. Connect this to a camera or upstream image output.

Color Thresholds

array required

Color rules used to isolate target-colored regions. See Color Thresholds for configuration details.

Morphology

object required

Morphological operations to clean the color mask before contour extraction. See Morphology for details.

Overlay Results

boolean required

Whether to draw detection contours and filled regions on the output frame. See Overlay Results.

Overlay Alpha Mask

number required

Opacity of the colored region overlays. See Overlay Alpha Mask.

Single Overlay Color

boolean required

When enabled, all detected regions are filled with the same color defined by overlayHexColor instead of automatically assigned per-region colors.

Output

Overlay Image

image

Output frame from the node. If overlays are enabled, detected color regions are filled and outlined.

Detected Count

integer

Number of color-matched regions detected in the current frame.

Detected Objects

array

Array of region detection objects. Each object contains the contour boundary points and the bounding box of the region.

Binary Frame

image

Binary mask produced from the color threshold step. Useful for debugging threshold rules — white pixels are the regions that passed the color match.