The Moon landing was 50 years old in 2019. Zeiss lenses were used to capture this image
The last year has been one of consolidation for the machine vision industry, along with a slowdown in the markets that machine vision serves
Limited data is a common problem when training CNNs in industrial imaging applications. Petra Thanner and Daniel Soukup, from the Austrian Institute of Technology, discuss ways of working with CNNs when data is scarce
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 European Machine Vision Association has presented its 2018 Young Professional Award to Doris Antensteiner, a researcher at the Austrian Institute of Technology
Messe Stuttgart has issued a call for entries for the Vision Award, the prize for machine vision innovation to be presented at the Vision trade fair in Stuttgart in November
Messe Stuttgart has announced the shortlist for this year's Vision Award, with six entries making the final cut
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
