Matthew Dale explores Industry 4.0 and machine vision’s role in the connected factories of the future
Surface-based matching in Halcon, from MVTec Software
Greg Blackman looks at the latest techniques to capture and analyse 3D image data
Keely Portway finds out how vision is being used to gather data about consumers
The preferred connector for version 2.0 is the micro-BNC. Credit: Active Silicon
Chris Beynon, Active Silicon’s CTO and technical chair for the CoaXPress standard, gives an update on what’s new in v2.0
Greg Blackman reports on new hyperspectral technology presented at the Photonex show in the UK, and how the imaging technique is being used for forestry and food sorting
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
