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Michael Emmanuel Ebo Turkson

Michael Emmanuel Ebo Turkson
Michael Emmanuel Ebo Turkson
  • Program
    MPhil Scientific Computing & Industrial Modeling
  • Graduating Class of
    2018
  • Research Interests
    Artificial Intelligence
  • Dissertation(s)
  • Affiliate Institution
    Kwame Nkrumah University of Science and Technology
  • Degree Obtained
    BSc. Mathematics
  • Email
    eboturkson@nims.edu.gh

Profile


Michael Emmanuel Ebo Turkson graduated from the Kwame Nkrumah University of Science and Technology, Ghana, in 2015, with a BSc Mathematics degree. Along the way, he had gained technical expertise in software development, algorithm design and performance optimization from several internships and work experience. For his mandatory one year National Service, he was a Teaching Assistant with the Department of Mathematics of the Kwame Nkrumah University of Science and Technology, Ghana.

He is currently enrolled in the 'Scientific Computing and Industrial Modelling' postgraduate programme of the National Institute for Mathematical Sciences, Ghana. His interests lie in applying artificial intelligence, computer vision and machine learning theories to problems in energy, the environment and agriculture.

Research Summary


In this work, the efficiency of convolutional neural networks is considered in selecting a feature extraction method for the automatic analysis of the surveillance footage.

A combination of a MobileNet V2 Convolutional Neural Network and a Single Shot Detector is combined to perform object detection in surveillance video. The architecture is trained and evaluated on the Microsoft Common Objects in Context dataset. It is shown that the combined architecture yields the expected results in efficiency and a mean Average Precision of 22.

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