Detect Bin (Four Sides)

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Function

This Step calculates the poses and dimensions of the bin and its four sidewalls.

Usage Scenario

This Step is used to recognize regular four-sided bins and send the recognition results to external services for collision detection.

Input and Output

Input

Input port Data type Description

Upper Surface Point Cloud of Bin

PointCloud/XYZNormal

Point cloud of bin’s top surface.

Upper Surface Mask of Bin

Image/Color/Mask

Mask of bin’s top surface.

Depth Map

Image/Depth

Depth map containing the bin directly from the camera.

Output

Output port Data type Description

Bin Pose

Pose[]

3D center pose of bin.

Four Sides Poses of Bin

Pose[]

Poses of four sidewalls of bin.

Bin Dimensions

Size3D[]

3D dimensions of bin and its four sidewalls.

Parameter Description

Bin Size Settings

Parameter Description

Bin Length

Parameter description: The actual length of the bin.

Default value: 500.000 mm

Bin Width

Parameter description: The actual width of the bin.

Default value: 500.000 mm

Bin Height

Parameter description: The actual height of the bin.

Default value: 0.000 mm

Bin Location Settings

Parameter Description

Height Diff from Box Center to Camera

Parameter description: The distance from the box center to the camera.

Default value: 0.000 mm

Collision Model Settings

Parameter Description

Bin Side Thickness

Parameter description: The thickness of the bin sidewall.

Default value: 10.000 mm

Bin Side Thickness Tolerance

Parameter description: Distance from inner contour of upper edge to the tank wall.

Default value: 200.000 mm

Corner Detection Settings

Parameter Description

Min Corner Quality

Parameter description: This parameter is used to set the minimum acceptable corner quality.

Default value: 0.0100

Min Corner Distance

Parameter description: Minimum possible Euclidean distance between the returned corners.

Default value: 50 px

Max Num of Corner Points

Parameter description: Maximum number of corners to return.

Default value: 4

Block Size

Parameter description: Size of an average block for computing a derivative covariation matrix over each pixel neighborhood.

Default value: 5

Use Harris Detector

Parameter description: Select only when using Harris detector.

Default value: Unselected

K

Parameter description: Harris detector free parameter.

Default value: 0.04

Parameter Description

Depth Search Range

Parameter description: Depth search range.

Default value: 5

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