Skip to main content

BitFlow frame grabbers support AMD and NVIDIA GPUs

US-based machine vision supplier BitFlow said it is the first frame grabber manufacturer to support workstation graphics processor units (GPU) from both NVIDIA and Advanced Micro Devices (AMD). New software co-developed by BitFlow and the two GPU makers enables the integration of the GPUs with the BitFlow buffer interface API (BufIn) and the processing power of NVIDIA and AMD.
January 15, 2016 Read time: 1 min
US-based machine vision supplier 8300 BitFlow said it is the first frame grabber manufacturer to support workstation graphics processor units (GPU) from both NVIDIA and Advanced Micro Devices (AMD).

New software co-developed by BitFlow and the two GPU makers enables the integration of the GPUs with the BitFlow buffer interface API (BufIn) and the processing power of NVIDIA and AMD. In doing so, Bufln can acquire images and synchronise transfer directly to the memory of AMD GPUs to achieve real-time, zero latency processing.

Related Content

  • Top 5 trends in vision technology
    June 24, 2021
    Artificial intelligence and deep learning algorithms are among the major trends having an impact on road traffic enforcement, according to leading companies in the vision sector
  • Vision technology: the future in focus
    November 23, 2018
    Just a few years ago, terms such as ‘embedded’ and ‘polarisation’ were buzzwords. But now they are real and present examples of vision technology in action – and, Adam Hill finds, the ITS industry is waking up to a number of possible applications Every aspect of the intelligent transportation systems industry moves quickly – but developments in camera technology change with a rapidity which can appear quite bewildering. And with ITS providers constantly searching for an edge against fierce competitio
  • Network video alternative to machine vision in urban applications
    January 11, 2013
    It would be easy to fall into the trap of seeing machine vision as the vision-based solution for ITS and traffic, however Patrik Anderson, Director Business Development Transportation of Axis Communications, notes that many of the applications which are coming to be associated with machine vision – and, indeed, many of the characteristics, such as at-the-edge analytics and image processing – are also possible with open-standard networked video. Networked video brings a whole host of advantages, such as the
  • Flir launches thermal sensors to accelerate self-driving cars
    January 9, 2018
    To help advance the reliability required for self-driving cars (SDCs), Flir Systems has launched a high-resolution Thermal Vision Automotive Development Kit (ADK), enabling developers to add an affordable, long-range thermal camera to their advanced driver assistance systems. The solution is said to help drivers and future SDCs see in challenging environments such as darkness, sun glare, fog, smoke and haze. ADK features the high-resolution Flir Boson, which is equipped with an Intel Movidius Myriad 2