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CVS Trevista: Reliable inspection of glossy metal components

1 Mar 2012

The Trevista vision system uses structured lighting for a quick, automatic and complete inspection of objects with surfaces that are hard to inspect. STEMMER IMAGING now offers this technology as a complete solution.

The Trevista process closes the gap between 2D imaging and optical 3D shape recognition. It combines the speed of 2D imaging and the precision of 3D recognition, provides a 100% coverage of components and saves cost.

The structured and diffuse illumination of an object and a special calculation algorithm used in the Trevista technology create high-quality images for subsequent automatic analysis. A three-dimensional surface shape is displayed using topographic images which make even defects with a depth of just a few micrometres visible. These defects can be located and classified quickly, reliably and free of interference. Furthermore a texture image will be generated for the purpose of determining differences in brightness on the inspected component.

The dome shaped illumination setup provides optimum illumination from different directions and keeps away interfering ambient light. The calculation algorithm is computer-based and integrated into the software platforms Sherlock by Teledyne DALSA and Common Vision Blox (CVB) by STEMMER IMAGING. These software environments control the automatic evaluation of the topographic images. Its robust design allows reliable integration into the manufacturing process or into an automatic tester. STEMMER IMAGING offers the Trevista technology as a complete solution with industry-grade PCs for the user.


Puchheim, Germany

STEMMER IMAGING has been one of the leaders in the machine vision market since 1987. It is one of Europe's largest technology providers in this field. In 1997 STEMMER IMAGING presented Common Vision Blox (CVB), a powerful programming library for fast and reliable development and implementation of vision solutions, which has been deployed successfully throughout the world in more than 80,000 imaging applications in various industries.