MVTec is one of STEMMER IMAGING’s main partners in the development of artificial vision software solutions. On the occasion of the release of HALCON 22.11, the newest version of MVTec’s comprehensive standard software for machine vision, we spoke to Chady Elahmad, Regional Sales Manager NW Europe, about machine vision developments such as deep learning or big data and our strong partnership.

The Ethernet based GigE Vision standard is still considered the most frequently used interface in machine vision. It offers a large variety of compatible standard network equipment and enables scaling the performance of the whole system over a wide range. This makes GigE Vision especially suitable for multi-camera systems.

Wood panel scanning using a mixed model sensor system.

In Q1 2021, the revolutionary new Zivid Two 3D camera will be available from STEMMER IMAGING. The Zivid Two is a natural successor to the industry-leading Zivid One+ range of cameras.

JAI’s Sweep+ prism-based colour line scan cameras combine high colour fidelity with best in class resolution along with high-speed data transmission over long distances for a wide range of applications.

The Center of Device Development at the Fraunhofer Institute for Silicate Research ISC has developed a fully automated check system for bearing balls that is unique in the world. The sophisticated quality inspection system is based on machine vision components from STEMMER IMAGING.

State of the art vision systems now offer greater flexibility than ever before: Be they single cameras, multiple cameras configurations, or cameras that are set up for 360o views of target objects either through rotation of the object or moving the camera by attaching it to a Cobot.

STEMMER IMAGING extends its camera portfolio to include a new series of powerful USB3 cameras ideal for outside environments due to features such as advanced P-Iris functionality.

The versatile high speed, high resolution Linea SWIR from Teledyne DALSA is ideal for applications like optical sorting or for inspection tasks to detect material properties invisible to the human eye. With the Linea SWIR it is possible to detect moisture content, bruising or foreign objects in food sorting applications to increase yield, reduce waste and improve quality. Its unique cycling mode enables easy and cost effectve implementation of multispectral material classification applications.

The University of Leoben in Austria has developed a robust image recording system to analyse the rock and monitor the construction progress as well as for geological documentation during tunnelling, using machine vision components from STEMMER IMAGING.