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
MVTec’s Halcon software library includes a deep learning OCR tool with pre-trained fonts from a wide range of industries. Credit: MVTec
Matthew Dale explores vision solutions for code reading and inspection in pharmaceutical production
Engineers at KYB in front of a pick-and-place solution for handling steel metal cylinders. Credit: Pickit
Car manufacturing has been hit hard by Covid-19, but the need for automation on production lines has not diminished, as Greg Blackman finds out
A point cloud of a National Research Council Canada artefact superimposed on a CAD model. Credit: NIST
How do you choose a 3D vision system for a robot cell? Geraldine Cheok and Kamel Saidi at the National Institute of Standards and Technology in the USA discuss an initiative to define standards for industrial 3D imaging
SWIR imaging can show bruising in fruit that wouldn't be evident with a visible camera. Credit: Sony
Edmund Optics’s Thomas Armspach-Young and Boris Lange consider the optics needed to get the best out of Sony's new short-wave infrared image sensors
What kind of economic development do you expect during and after this crisis?
Findings from a two-part survey, conducted by the European Machine Vision Association, on the effects the Covid-19 pandemic could have on the machine vision industry
Credit: Drag&bot
Christoph Hellmann Santos, of the ROS Industrial Consortium Europe and Fraunhofer IPA, explains why more industrial users are now building robots through the open source software platform, Robot Operating System
