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VISION AWARD


Four firms make Vision Award shortlist


The prize for machine vision innovation, which this year covers event-based vision, inline metrology and 3D vision, will be awarded at Vision in Stuttgart


T


he Austrian Institute of Technology, HD Vision Systems, Prophesee and Zeiss have been


shortlisted for the Vision Award. Te four entries – selected by the jury out of a total of 44 submissions – cover two 3D imaging products, event-based vision and inline metrology. Te prize for technological excellence in the field of machine vision will be awarded during the Vision show, which will take place in Stuttgart from 5 to 7 October. Each company will present their


technology during the Industrial Vision Days on 6 October, from 10.20am to 11.20am. Warren Clark, publishing director of Imaging and Machine Vision Europe, which sponsors the €3,000 award, will moderate the session, with a member of the judging panel crowning the overall winner at the end. While smaller than usual, more than 260 companies will exhibit products at the trade fair, which will be one of the first major in-person shows for the machine vision industry since the beginning of the pandemic.


Xposure:Photometry – fast inline 3D surface scanner


By Ernst Bodenstorfer, Markus Clabian, Christian Kapeller, Philipp Schneider and Petra Tanner, AIT Austrian Institute of Technology


Xposure:Photometry, developed by the Austrian Institute of Technology, is a fast inline 3D surface scanner realised by a high- speed smart camera. It is designed for optical inline surface inspection tasks common in many industrial manufacturing processes. Conventional 2D scanning methods


cannot distinguish between pseudo defects – dirt on the surface of a manufactured part, for instance – and actual 3D defects, such as scratches, ridges, spikes, pinholes or wrinkles. At the same time, existing 3D inspection methods are not able to handle high speeds, neither for single objects nor for high transport speeds of endless material. Xposure:Photometry addresses this by


combining very fast photometric stereo imaging and smart camera technology to highlight inline, actual small 3D defects on


the object’s surface, while distinguishing them from pseudo defects. Photometric stereo imaging is known


as a shape-from-shading method for reconstructing the 3D object shape from planar images taken from multiple illumination directions. It is sensitive to small deviations in the object surface structure, derived as local changes to the surface normal vector. Photometric stereo processing inherently computes different images of the object’s surface structure under different illumination directions, which highlights small 3D surface defects.


‘2D scanning methods cannot distinguish between pseudo defects and actual 3D defects’


To illuminate the object, AIT typically uses


a set of four fast-strobed line light sources. Xposure:Photometry can be combined with AIT’s Xposure:Flash line light sources, but is also compatible with a large variety of fast- strobed, off-the-shelf line lights. AIT’s multi-line-scan camera,


Xposure:Camera, is mounted above the inspected object’s surface. Te camera acquires every point of the object’s surface four times, for the four different illumination g


The Austrian Institute of Technology’s 3D surface scanner 4 IMAGING AND MACHINE VISION EUROPE AUGUST/SEPTEMBER 2021 @imveurope | www.imveurope.com


AIT Austrian Institute of Technology


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