YOLO-Based Real-Time Object Detection with Audio Feedback for Visual Accessibility

D SIRISHA 1
Assistant Professor,Department of AI&DSAnnamacharya Institute of Technology
and Sciences, Tirupati – 517520, A.P.sirishaaids@gmail.com
A SNEHA 4
UG Scholar, Department of AI&DSAnnamacharya Institute of Technologyand Sciences, Tirupati – 517520, A.P.
alisettysneha@gmail.com
K VIJAY KUMAR 2
UG Scholar, Department of AI&DSAnnamacharya Institute of Technology
and Sciences, Tirupati – 517520, A.P.Kalavijaykumar2004@gmail.com
K CHARANYA REDDY 5
UG Scholar, Department of AI&DSAnnamacharya Institute of
Technology and Sciences, Tirupati –517520, A.P.
charanyareddy24@gmail.com

D VISHNU VARDHAN REDDY 3
UG Scholar, Department of AI&DSAnnamacharya Institute of Technology
and Sciences, Tirupati – 517520, A.P.dvishnuvardhanreddy87@gmail.com

Abstract— Blind persons need some sort of help to feel secure while moving. Vision Assist is a smartphone app for visually impaired persons. It is a deep learning-based intelligent assistant for visually impaired persons. It makes the user more accessible by understanding the camera input and providing feedback. It is a smartphone app that is compatible with all smartphones.With the help of the app’s real-time object recognition and the ability to set the app’s settings according to the user’s requirements, visually impaired person  can move independently and confidently in the environment. Users can get feedback about the environment using text-to-speech communication Keywords— Vision Assist, Smartphone app, Visually Impaired, Deep Accessibility, Learning, Object Real-time Recognition, Assistance,Independence,