PIA Ningbo workers preparing the production line to make surgical masks
The need for PPE increases as the number of cases of Covid-19 escalates, while PIA Ningbo has purchased two abandoned production lines to make surgical face masks
Panelists from left: Christian Vollrath, Wenglor Sensoric; Rainer Schönhaar, Balluff; Peter Keppler, Stemmer Imaging; Andreas Waldl, B&R; and Dr Klaus-Henning Noffz, Basler
Anne Wendel, director of VDMA Machine Vision, reports from SPS 2019 in Nuremberg, where vision system simplicity was discussed
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
The panel discussion at the Embedded World trade fair
Matthew Dale looks at what it will take to increase the adoption of embedded vision
InGaAs and event-based sensors still rely on silicon CMOS readout ICs
Greg Blackman explores the work being done on InGaAs sensors, along with other types of novel sensor that could find their way into the machine vision market
Oliver Fähnle, of Fisba, says optimising optical systems relies on communities in the supply chain talking to one another
Newly elected EMVA president Chris Yates considers what the future might hold for machine vision
Michał Czardybon, CEO of Adaptive Vision, on how to handle data and image annotation when working with deep learning
Raghava Kashyapa, CEO of Indian vision firm Qualitas Technologies, writes about the benefits and challenges of implementing machine vision in the cloud – and what this holds for manufacturing in India
Paul Wilson, managing director of Scorpion Vision, describes what it takes to install a 3D robot vision system in a Chinese foundry
