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
Yahuza, K (2021). ISight: An Object Recognition Application for Visually Impaired Individuals. Afribary. Retrieved from https://track.afribary.com/works/isight-an-object-recognition-application-for-visually-impaired-individuals-1
Yahuza, KASSIM "ISight: An Object Recognition Application for Visually Impaired Individuals" Afribary. Afribary, 23 Apr. 2021, https://track.afribary.com/works/isight-an-object-recognition-application-for-visually-impaired-individuals-1. Accessed 24 Nov. 2024.
Yahuza, KASSIM . "ISight: An Object Recognition Application for Visually Impaired Individuals". Afribary, Afribary, 23 Apr. 2021. Web. 24 Nov. 2024. < https://track.afribary.com/works/isight-an-object-recognition-application-for-visually-impaired-individuals-1 >.
Yahuza, KASSIM . "ISight: An Object Recognition Application for Visually Impaired Individuals" Afribary (2021). Accessed November 24, 2024. https://track.afribary.com/works/isight-an-object-recognition-application-for-visually-impaired-individuals-1