Deployment of an Android App and Camera to Detect Objects for Visually Challenged Persons
Abstract
Among all of the human senses, vision is one of
the most important, and it plays a critical role in comprehending the
surroundings around you Visually challenged people find it challenging to go
about outside without assistance. As a result, this research is an attempt to
develop a low vision object detection system. As a result, the following is
required: It requires, among other things, a camera, an application, and an
audio device. We developed and deployed an Android app that makes use of the
phone's camera a vision-impaired person uses a camera to detect objects in
their environment. In addition, the Application will inform the user of the
object's direction as well as their distance from it. The programme will use an
audio device such as headphones or the phone's speaker to give the visually
impaired user the name, direction, and distance of the object. Visually
challenged persons will be able to converse with each other using this way.
This technology will allow visually impaired persons to travel around
independently by educating them about the many items around them.
Country : India
1 Dr. S. P. Malarvizhi
Professor, Department of Computer Science and Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
IRJIET, Volume 4, Issue 2, February 2020 pp. 81-83
Rabia
Jafri, Syed Ali, Hamid Arabnia, and Shameem Fatima (2013). A survey of computer
vision-based item recognition for visually challenged people in an indoor
environment. 10.1007/s00371-013-0886-1. The Visual Computer. 30.
RFAIDEA
navigation and object recognition aid for visually impaired people based on
RFID technology. Murad, M., Rehman, A., Shah, A.A., Ullah, S., Fahad, M.,
Yahya, K.M. 7th International Conference on Emerging Technologies (ICET),
Pakistan, pp. 14. (2011).
A.Nishajith,
J. Nivedha, S.S. Nairand J. Mohammed Shaffi, “Smart Cap Wearable Visual
Guidance System for Blind," Coimbatore, 2018, pp. 275-278.
S. Anand,
A. Kumar, M. Tripathi, and M.S. Gaur. Human Face Detection Enabled Smart Stick
for Visually Impaired people.
Chaudhari,
(2014). "A smart white cane is a beautiful and cost-effective walking
aid." 3(10), 84-89, American Journal of Engineering Research.