AI Based Support System for Blind People with an Integrated Reading Assistant

Authors

  • Rijwan Khan, Mohammad Husain, Jitendra, Mohammad Rashid Hussain, Mohammad Nadeem Ahmed, Arshad Ali

Keywords:

Artificial Intelligence (AI), Blind or Visually Impaired People (BVIP), Nvidia NGC and Video Processing.

Abstract

Mobility, navigation and reading are some of the major problems for the Blind or Visually Impaired People (BVIP). BVIP are still struggling with all of them. In the current scenario of the booming of Artificial Intelligence (AI) where everything is shifted to be “smart”, we are not able to solve the problems of these BVIP. They can't even do their daily chores properly whereas we all are getting our house operated on voice assistants. As we know wearable technologies take a hike after the merging with AI. This can give the BVIP a great shift to ease their living. In this paper a prototype is presented. It is wearable like a badge on the chest or can be fitted on the spectacles that will assist the BVIP in reading documents, objects identification, and face recognition.  It is implemented using the state-of-the art models provided by the Nvidia NGC. It carries out real-time video processing of visual input provided by the camera installed in it. After processing, it classifies different objects and measures their distances from it. It does this using people net and B13D proximity segmentation models of Nvidia NGC. Once the image or video analysis is done, auditory feedback is given to the user. There is a reading assistant in the gadget that can read any document present in front of it. Reading is performed using text extraction models from images.

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References

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Published

12.06.2024

How to Cite

Rijwan Khan. (2024). AI Based Support System for Blind People with an Integrated Reading Assistant. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 3676 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6911

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Section

Research Article