Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application

Author:

Tarik Hania1,Hassan Shahzad2ORCID,Naqvi Rizwan Ali3ORCID,Rubab Saddaf4ORCID,Tariq Usman5ORCID,Hamdi Monia6,Elmannai Hela6,Kim Ye Jin7,Cha Jae‐Hyuk7

Affiliation:

1. Ericsson Pakistan Islamabad Pakistan

2. Computer Engineering Department Bahria University Islamabad Islamabad Pakistan

3. Department of Unmanned Vehicle Engineering Sejong University Seoul South Korea

4. Department of Computer Engineering College of Computing and Informatics University of Sharjah Sharjah UAE

5. Department of Management Information Systems College of Business Administration Prince Sattam Bin Abdulaziz University Al Kharj Saudi Arabia

6. Department of Information Technology College of Computer and Information Sciences Princess Nourah bint Abdulrahman University, P.O. Box 84428 Riyadh 11671 Saudi Arabia

7. Department of Computer Science Hanyang University Seoul Korea

Abstract

AbstractThe Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities. While several inventions exist to aid people with blindness in their everyday lives, the tools are not adequate in terms of accessibility and efficiency. Smart cane is a useful technology that is being researched and developed to enhance navigation of the visually impaired through smart obstacle detection. Moreover, artificial intelligence is being incorporated in these devices to provide users with a sense of vision and allow them greater independence. However, these devices are expensive and often do not contain the desired functionality in a compact single device. The research by I‐CANe aims to create a low‐cost, single device system that is equipped with obstacle detection and identification features to enhance navigation for users without using multiple detection devices. The cane will also incorporate wireless communications for safety features such as Global Positioning System tracking and Global System for Mobile communication to allow maximum independence of the user.

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Reference35 articles.

1. World report on disability.https://www.who.int/teams/noncommunicable‐diseases/sensory‐functions‐disability‐and‐rehabilitation/world‐report‐on‐disability(2011)

2. World Health Organization:World report on vision.https://www.iapb.org/learn/resources/the‐worldreport‐on‐vision/. Accessed 17 February 2021

3. WHO international statistical classification of diseases and related health problems 10th Revision ICD‐10: tabular list. World

4. Prevalence and causes of blindness in Pakistan;Memon M.;J. Pak. Med. Assoc.,1992

5. World Health report on assistive technology.https://www.who.int/news‐room/fact‐sheets/detail/assistive‐technology(2018)

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