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iSight: An Object Recognition Application for Visually Impaired Individuals

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
  • Reference Style: APA
  • Recommended for : Student Researchers
  • NGN 5000

ABSTRACT

Assistive technologies to aid the visually impaired have evolved over time from screenreading software, magnification programs and daisy book readers, there are a plethora of devices to aid the visually impaired in their daily activities. Despite the established utility of such devices they face certain limitations that have hindered their widespread adoption, such as cost, stigma attached to using the product in public, and lack of continued support for the product. In this time smartphones, smartphone camera technology and mobile applications have become a staple of modern life and have rapidly improved since their introductions. This alongside the rapid developments in computer vision and machine learning, especially on mobile devices provide a perfect platform for developing a mobile application solution. Whilst there are similar solutions available, they also have certain shortcomings. iSight provides an intuitive user experience, using TensorFlow Lite object recognition, where users can simply scan their surroundings and click anywhere on the screen to receive verbal feedback of the objects in their environment.





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