Algolux presented a research paper at CVPR 2020, describing an approach applying a stochastic optimisation method to the problem of optimal hardware-software co-design of cameras and computer vision algorithms
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.
A setup for photometric stereo imaging in which multiple lights are used to illuminate an object from different directions. Credit: Advanced illumination
Matthew Dale explores the power of computational imaging, all made possible by clever illumination
The impact of lidar in automotive has been replicated by the application of structured light approaches in machine and computer vision systems. The ultimate paradigm shift is restore vision to the blind. A discussion between photonics hardware, software and users is needed.
Zensors' algorithms analyse feeds from CCTV cameras to provide real-time data on the number of people in an area and whether safe distances are maintained between them
Takashi Someda, CTO at Hacarus, on the advantages of sparse modelling AI tools
Learn what kinds of inspection become possible with computational imaging. Includes a detailed overview of CI techniques used in machine vision and the components needed, and six application examples.
Limited data is a common problem when training CNNs in industrial imaging applications. Petra Thanner and Daniel Soukup, from the Austrian Institute of Technology, discuss ways of working with CNNs when data is scarce
Algolux has announced a research partnership with Mila, an academic research institution dedicated to advancing artificial intelligence, with a strong focus on deep learning related to image processing and computer vision
Reconstruction of traffic signs with high-resolution colour non-line-of-sight imaging using conventional CMOS cameras sensors
Carnegie Mellon University showed a non-line-of-sight imaging technique able to compute millimetre- and micrometre-scale shapes of curved objects
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
