• DocumentCode
    3580127
  • Title

    Computer vision and applications in Canadian oil sands

  • Author

    Zhang Hong

  • Author_Institution
    Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Canada holds oil reserve at 168 billion barrels - in the form of oil sands in the Province of Alberta-ranking it the third largest in the world. In this lecture, I will highlight our collaborative research with Canadian oil sands producers - in computer vision, image processing and machine learning - to address some of the challenges facing this important Canadian industry. Specifically I will provide examples of how we have been able to tackle practical industrial problems successfully and, at the same time, contribute to the progress of scientific disciplines such as computer vision and image processing. These examples include: delivering performance indicators for the optimization of a mining process, monitoring the conditions of mining equipment, and protecting wildlife in and around mine sites. Our experience demonstrates that academic research can be carried out effectively in close collaboration with industry, and that such a partnership can be mutually beneficial.
  • Keywords
    computer vision; mining industry; petroleum industry; production engineering computing; Alberta; Canadian oil sands; computer vision; image processing; machine learning; mining process optimization; Computer vision; Hydrocarbons; Image processing; Industries; Pattern recognition; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICARCV.2014.7064484
  • Filename
    7064484