11/30/2022 0 Comments Laser projector triangulation![]() This creates distracting image noise in the 3D laser triangulation system. This physical phenomenon is caused by interference effects of the laser light, which is reflected from the inspection surface and thus creates bright and dark spots on the camera chip or in the eye of the viewer, where a sharp line projection is actually desired. With the aid of software, the individual images can be combined to produce the 3D data of the object in the form of 3D point clouds or height profiles, which can then be analysed and examined for defects.Ī weakness of the laser triangulation method has always been that the projected laser lines exhibit so-called speckles. By moving the object under inspection relative to the camera, for example by a conveyor belt, the surface contour of the object can be seen in the camera images with different deflections. The basic setup of this method consists of a laser that projects a line onto the object under inspection and a camera mounted at a known angle to the laser that captures images of the laser line. The laser triangulation method has established itself as the definitive technology for 3D image processing in order to generate high-resolution and precise three-dimensional image data. The In-Sight 3D-L4000 embedded vision system is the first product to bring the benefits of speckle-free laser lines to users. The experimental outcomes show that the system is suitable for portable automatic box dimension online measurement.Using newly developed and recently patented technology, Cognex eliminates the speckle effect of laser lines, optimising triangulation-based 3D imaging. Results show that the proposed key point detection algorithm and the designed laser-vision-based visual system can locate and perform dimension measurement of measured boxes with high accuracy and reliability. An optimization method for effectively calibrating the system through the maximum likelihood estimation is then proposed. The precise geometry of the box is calculated by the 3D coordinates of the key points in the laser-box image through laser triangulation. The structured edge maps of the boxes are detected by a novel end-to-end deep learning model based on a trimmed-holistically nested edge detection network. This system measures dimension information through laser triangulation and deep learning using only two laser-box images from a camera and a cross-line laser projector. This work studies a hand-held structured light vision system for boxes. Dimension measurement is of utmost importance in the logistics industry. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
December 2022
Categories |