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
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
Algolux won the software innovation award at the 2018 AutoSens conference for its artificial intelligence technology for autonomous vision
Algolux, a provider of machine-learning stacks for autonomous vision, has closed a $10 million series A funding round led by General Motors Ventures. Its technology has also won best automotive solution at the Embedded Vision Summit
Canadian machine learning company, Algolux, has won the ‘Most exciting startup’ award at the AutoSens show in Brussels on 20 September
Algolux, Inc. today announced CRISP-ML, the first machine learning platform to automate the complex optimization of vision systems. The platform’s advanced technology and architecture provide a unique advantage to both experienced and novice computer vision teams in addressing the growing cost, expertise, and time to market challenges they face in optimizing their systems.
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
