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.
Outfield analyses aerial images of orchards using machine learning to predict crop yield
Farmers are starting to reap the rewards of robotics and machine vision, as Keely Portway finds out
Open source software has advanced to a point where it’s now a credible option for industrial imaging, Matthew Dale finds
Active Silicon’s 4xCXP-12 FireBird Coaxpress frame grabber (PCIe Gen3 x8)
Chris Beynon, Active Silicon’s CTO and technical chair of the Coaxpress committee, updates on the Coaxpress standard
Neil Trevett and Chris Yates
The Khronos Group and the EMVA are to explore software standards for embedded vision. Khronos’ Neil Trevett and EMVA’s Chris Yates explain the work
Greg Blackman reports from the Embedded World show, where industry experts gave insights into vision processing at the edge
The first colour image, captured by a CMV20000 sensor, to be sent back by the hazard cameras on the Perseverance rover after its landing on Mars on 18 February. Credit: NASA/JPL-Caltech
Greg Blackman speaks to Guy Meynants, formerly of Cmosis, and Paul Jerram, of Teledyne e2v, about the history of the image sensors onboard the Mars rover
