Object detection and recognition: using deep learning to assist the visually impaired.

Journal: Disability and rehabilitation. Assistive technology
Published Date: Nov 6, 2019

Abstract

BACKGROUND: Deep learning systems have improved performance of devices through more accurate object detection in a significant number of areas, for medical aid in general, and also for navigational aids for the visually impaired. Systems addressing different needs are available, and many manage effectively the detection of static obstacles.

Authors

  • Abinash Bhandari
    School of Computing and Mathematics, Charles Sturt University, Sydney, Australia.
  • P W C Prasad
    School of Computing and Mathematics, Charles Sturt University, Sydney Campus, Sydney, Australia.
  • Abeer Alsadoon
    School of Computing and Mathematics, Charles Sturt University, Sydney Campus, Sydney, Australia. aalsadoon@studygroup.com.
  • Angelika Maag
    School of Computing and Mathematics, Charles Sturt University, Sydney, Australia.

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