3 May 2012
The Trevista process closes the gap between 2D image processing and optical 3D shape recognition by combining the speed of 2D image processing with the precision of 3D recognition to allow a 100% coverage of components, which in turn saves cost. The process filters the image information produced to separate topography and texture into different images. Topographic images allow defects down to a depth of just a few micrometres to be located and classified quickly, reliably and free of interference, while texture images allow differences in brightness on the inspected component to be determined.
Dome shaped illumination housings are available in 3 different sizes to allow components up to 200 mm to be measured. The housing provides optimum structured and diffuse illumination from different directions and protects the system from ambient light interference. Systems are available with area industrial vision cameras for the inspection of flat surfaces and line scan industrial vision cameras for the inspection of cylindrical surfaces. The robust design allows reliable integration into the manufacturing process or into an automatic tester.
The industrial image processing algorithms are integrated into the popular Sherlock advanced machine vision software interface which can be applied to a wide variety of automated inspection applications. Sherlock offers machine vision system professionals extensive tools and capabilities for design, development, debugging, and user administration. The Trevista algorithms can also be implemented through STEMMER IMAGING’s own Common Vision Blox machine vision toolkit.
STEMMER IMAGING has been leading the machine vision market since 1987. It is Europe's largest technology provider 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 40,000 imaging applications in various industries.