This paper will analyse the benefits and drawbacks of traditional image processing and deep learning. It aims to provide clarity on the subject of deep learning, which can then help data scientists and industries choose the most suitable method depending on the task.
Stemmer Imaging has acquired Spanish firm Infaimon for a deal reported to be in the low tens of millions of euros
New software called ChimpFace is helping conservationists identify illegal trade in chimpanzees using face recognition
Computer vision expert, Scott Krig at Krig Research, explains how understanding 'feature descriptor metrics' can help optimise image processing in industrial vision
Following speaking at the AIA business conference in Orlando, Florida at the end of January, Jon Sobel, CEO and co-founder of Sight Machine, argues that with modern data analytics machine vision can be much more than just inspection
The British Machine Vision Conference is due take place at the beginning of September, an event with machine vision in the title - but, confusingly, focusing on academic algorithm development and computer vision. Greg Blackman asks what industrial image processing can learn from academia
Greg Blackman looks at the options for high-throughput image processing, including FPGAs and multicore processors, and finds out what unites development in all software packages is ease of use
Greg Blackman on the developments taking place within image processing libraries
Stephen Mounsey looks at trends in the development of image processing software and libraries, and finds that usability is becoming increasingly important here
Stephen Mounsey discovers that for some applications, 'quite fast' just isn't fast enough
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
