Machine vision technology is improving quality control in automotive manufacturing, writes Andrew Williams
Andrew Williams asks how manufacturers can make better use of their machine vision data
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
Greg Blackman reports on CEA Leti's new image sensor, shown at Photonics West, which contains onboard processing and is able to image at 5,500 frames per second
Ron Low, Framos head of sales Americas and APAC, reports from Framos Tech Days at Photonics West in San Francisco where Sony Japan representatives presented image sensor roadmap updates
Ahead of the Control trade fair in May, Greg Blackman speaks to Fraunhofer IPM about three new systems it will present for quality inspection
Greg Blackman speaks to Sofradir about its €150 million investment to advance infrared sensor technology
