A combination of vision, sensor and deep learning technologies are creating extraordinary developments in retail, writes Matthew Dale
Keely Portway investigates the latest advances in 3D vision equipment, and how they could open up new industrial imaging applications
Machine vision technology is improving quality control in automotive manufacturing, writes Andrew Williams
Greg Blackman speaks to Torsten Wiesinger at Lucid Vision Labs, one of the newest industrial camera manufacturers on the block
A group at the University of Bologna is trying to make images from Grand Theft Auto more realistic so that they can act as training data for neural networks. Greg Blackman listens to Pierluigi Zama Ramirez’s presentation at the European Machine Vision Forum in Bologna in September
Petra Gospodnetic at Fraunhofer ITWM describes her work building a virtual image processing environment to simulate the design of an inspection system
Technology that advances 3D imaging, makes lenses more resistant to vibration, turns a CMOS camera virtually into a CCD, and makes SWIR imaging less expensive, are all innovations shortlisted for this year’s Vision Award, to be presented at the Vision show in Stuttgart
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
