As car makers install production lines for electric vehicles, Greg Blackman looks at how vision is currently used in their factories
The UK is up to 20 per cent less productive than its major competitor countries because it is not investing in automation, Mike Wilson at the British Automation and Robot Association said at UKIVA's machine vision conference in Milton Keynes. Greg Blackman reports
Combining MVTec software products with Hilscher PC cards enables machine vision applications to be integrated easily into process control systems
David Dechow (pictured), Edward Roney, Ghislain Beaupré, and Jeremy Bergh have been elected to serve two-year terms on the board of directors of AIA, the Association for Advancing Vision and Imaging
The VDMA Machine Vision sector group has elected a new board for 2018-2021 at a members’ assembly of the VDMA Robotic and Automation Association
Italian firm Electronic Systems has upgraded its web inspection systems to GigE Vision interfaces in order to adapt to changing customer requirements
Machine vision is one of the driving forces of industrial automation. For a long time, it’s been primarily pushed forward by improvements made in 2D image sensing and, for some applications, 2D sensing is still an optimal tool to solve a problem. But the majority of challenges machine vision is facing today has a 3D character. From well-established metrology up to new applications in smart robotics, 3D sensors serve as a main source of data. Here, we discuss the parameters of 3D sensing techniques.
Greg Blackman gets to the bottom of Industry 4.0, and asks how machine vision will fit into the factories of the future
A report from the Association for Advancing Automation (A3) has linked increases in the use of robots in manufacturing with higher employment in the USA. Bob Doyle at A3 looks at the reasons for the trend
Automating factories is a big business globally, but in order to maximise its effectiveness both the vision system providers and end users must play their part, as Tom Eddershaw finds out
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
