Astute Support System with Voice Feedback for Visually Impaired and Blind Assistance
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Authors
Kariri, Abdulrahman
Dr. Elleithy, Khaled
Issue Date
2025-04-04
Type
Other
Language
en_US
Keywords
Assistive vision system , Real time object detection , Voice feedback assistance
Alternative Title
Abstract
Visual impairment affects millions of individuals worldwide, creating daily challenges in object recognition and independent navigation. Traditional assistive tools such as white canes and guide dogs offer limited support for real-time object identification. This paper presents an astute support system designed to assist visually impaired and blind individuals through real-time object detection and voice feedback. The proposed system utilizes a YOLO-based computer vision model for object detection, OpenCV for real-time video processing, and Google Text-to-Speech to provide immediate auditory feedback to the user. The system captures live video input, processes each frame to identify objects exceeding a confidence threshold, and verbally announces detected objects in real time. Experimental results demonstrate high detection accuracy, with Intersection over Union values exceeding 0.90 for common objects and real-time performance maintained across low-resource devices. The proposed solution offers an affordable, user-friendly, and scalable assistive technology that enhances safety, mobility, and independence for visually impaired and blind individuals.
Description
UB Rise 2025
Computer Science and Engineering Department