3D LASER SCAN > HOW IT WORKS?

Samples...

 

How does it work?

Source Object
The laser draws a red line on the part.
The video camera records are digitized in real time.
Resulting data is a 3D points set.
The system is moved all around the part. Result is well defined points.

Finally, gathered data from the surface delivers a 3D model.

How do you get from the cameras video array to 3D XYZ world?

Raw Video image: adjustable to keep only suitable data for electronic process:
- Laser power (applies to line thickness),
- Integration time of cameras (applies to pixels height).

- Look Up Table (used as a threshold to eliminate background noise)

Kreon digitization : It is an electronic process, that extracts in real time a point for each video row. The result is a set of points in a system of coordinates (column, row), with subpixel resolution

Kreon camera calibration: Determines the relation between the cameras video array and a real world metric coordinate system (UV). Creating and applying the calibration formulas results in conversion of the sensors video output in to a row of points (sections) belonging to a 2D metric world.

Knowing the position of the scanner device (camera and laser) in relation to the object allows for locating the points of the laser line (section) in 3D space (XYZ). Sections can then be gathered over the entire surface of the object, constituting a points cloud, or more precisely a cloud of point sections.

How do you get from the cameras video array to 3D XYZ world?

Kreon's scanning technology is based on triangulation

The angle is selected so that there is sufficient relief and the hidden areas can be efficiently managed. At 0° the camera could not detect the relief, at 90° the relief would be optimum, but the slightest variation would prevent camera from detecting the laser trace.

 
The laser line belongs to a plane, and the video image is in 2D. Thanks to a "calibration" process, it is possible to translate from "row and column video image" information to "u,v" information that is in a system of 2D metric coordinates.


The dimensions of the captured area depend on geometrical and optical settings (zoom, focal length, etc...)`

 

 

 

 

 

 

 

 

 

 

 

 

   

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