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Assistive device using computer vision and image processing for visually impaired; review and current status.

Karan Patel1, Bhavesh Parmar1

  • 1L. D College of Engineering, Gujarat Technological University, Ahmedabad, India.

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|July 2, 2020
PubMed
Summary

This review examines computer vision and image processing-based vision substitution devices for the visually impaired. While research is advancing, commercial availability and real-world testing remain significant challenges for these assistive technologies.

Keywords:
Assistive devicescomputer visionelectronic mobility aidvision impairmentsvisually impaired

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Area of Science:

  • Computer Science
  • Image Processing
  • Rehabilitation Engineering

Background:

  • Visually impaired individuals require assistive technologies for daily living.
  • Existing vision substitution devices have limitations in adaptability and functionality.
  • Advancements in computer vision offer potential for improved assistive solutions.

Purpose of the Study:

  • To review vision substitution devices utilizing computer vision and image processing.
  • To focus on devices incorporating coding and sensor mechanisms.
  • To analyze existing and emerging assistive technologies for the visually impaired.

Main Methods:

  • Comprehensive review of commercially available and research-stage vision assistive devices.
  • Comparative analysis based on feedback, environmental adaptability, and device functionality.
  • Inclusion of advanced computer science and image processing techniques like object detection and facial recognition.

Main Results:

  • Limited number of commercially available devices, influenced by user mindset and cost.
  • Significant research in navigation, communication, and object recognition for the visually impaired.
  • Most advanced research lacks real-world testing and validation.

Conclusions:

  • Adaptability and trustworthiness are key challenges for current assistive devices.
  • Low device performance, inadequate feedback, and limited testing hinder progress.
  • Further research and development are needed to bridge the gap between lab findings and commercialization for enhanced user independence.