Professor Dr Carsten Steger, director of research at Munich-based MVTec Software, has been elected spokesman of the technical committee of the German Association for Pattern Recognition
MVTec Software (1E72) will introduce Halcon 18.11 and Merlic 4 software releases. Halcon 18.11 includes new deep learning functionality and expanded embedded vision capabilities. The release also provides new functions for developers.
In a live demo, an UR3e robot arm will be programmed to recognise objects in a crate using Halcon 18.11 deep learning matching technologies. Another demo will show MVTec’s standard machine vision software running on three embedded boards connected to cameras that are analysing a fast-moving object.
MVTec Software will release the new version 18.11 of its standard software Halcon on 30 November 2018
Embedded vision will be one of the big talking points at the upcoming Vision show in Stuttgart, with many exhibitors displaying embedded products or those for embedded systems
MVTec Software announces the new version 18.11 of its standard software Halconm which will officially be introduced at Vision 2018 in Stuttgart
Greg Blackman on the deep learning software tools now being deployed in industrial imaging
MVTec Software has announced a deep learning seminar series to run in October 2018 and at Vision Stuttgart
Image: Sergey Nivens/shutterstock.com
A roundup of some of the latest embedded vision technology
Glass inspection normally involves different illumination methods. Credit: MSTVision
Tim Hayes provides a window into how to find defects in glass
Mathias Bochow, GFZ Helmholtz Centre, Potsdam, is working on the Trace project to track marine plastic. Credit: Frank Schweikert, Aldebaran Marine Research & Broadcast (www.aldebaran.org/en/)
Abigail Williams speaks to scientists tracking marine plastic using satellite spectral imagery
Image: jamesteohart/shutterstock.com
Tim Reynolds finds out how vision and AI algorithms are making cities safer
Anne Wendel, director of VDMA Machine Vision
Anne Wendel, director of VDMA Machine Vision, on how the mechanical engineering sector could be affected by the war in Ukraine
Credit: Intel
Greg Blackman examines the importance of Tower foundries to machine vision sensor firms, following Intel’s acquisition
