| dc.description.abstract | Vision impaired individuals face difficult situations while they are travelling inde pendently. The major issues include difficulty in reaching the destination location
independently. This review aims to evaluate current solutions and propose an innovative
solution to enhance the navigation of vision-impaired individuals. This research aims to
systematically evaluate existing literature on assistive technologies for vision-impaired
individuals and to introduce a novel solution with emerging technologies to enhance
the navigation of them. As per the PRISMA guidelines, a comprehensive literature
search was conducted by using multiple academic databases such as IEEE Xplore,
Google Scholar, IJEECS, and MDPI. Studies were found for their relevance, focusing
on assistive devices, technologies, and applications designed to aid vision-impaired
individuals. Data were gathered and analysed for identifying the gaps. This review
found the wide variety of technologies such as wearable devices, mobile applications,
and mobility aids. However, there are significant gaps remaining in the integration
of real-time navigation and personalized assistance. According to the findings, this
paper proposed a new solution that combines computer vision (CV) and artificial
intelligence (AI) based personalized assistant to create a real-time navigation system for
vision-impaired individuals. The proposed solution aims to bridge the gaps in existing
solutions and future studies should focus on implementing this technology in the real
world. | en_US |
