MVTec Software has appointed Sonja Schick as Merlic product manager and Martin Krumey as MVTec's vice president sales
Deep learning was in force at the Vision trade fair in Stuttgart at the beginning of November. Greg Blackman reports from the show
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
The sensor of SWIR Vision Systems' Acuros CQD 1920 camera
Matthew Dale finds that new sensor technologies based on quantum dots are set to bring down the cost of shortwave infrared imaging
Keely Portway finds out how vision technology is playing a role in medical diagnosis
Bob McCurrach, director of standards development at AIA, updates on the progress being made in GigE Vision
Following speaking at Embedded Vision Europe, Pierre Gutierrez, lead machine learning researcher at Scortex, writes about the challenges of deploying deep learning on the factory floor
Takashi Someda, CTO at Hacarus, on the advantages of sparse modelling AI tools
Depth map from the SceneScan. Credit: Nerian Vision
Dr Konstantin Schauwecker, CEO of Nerian Vision, describes the firm’s stereo vision sensor for fast depth perception with FPGAs
MVDK evaluation board with MIPI CSI-2 sensor and CXP interface board. Credit: Euresys
Greg Blackman finds that purchasing IP cores for FPGAs is one way to reduce time-to-market for camera production
