Result Paper on Assist Vision: Enhancing Accessibility for the Visually Impaired

Abstract

Visually impaired individuals face difficulties in identifying objects around them, which affects their daily activities and independence. The Assist Vision project focuses on developing an AI-powered object detection system to help visually impaired people recognize and understand their surroundings through real-time audio feedback.

This system uses a camera-based object detection model that captures images, processes them using Artificial Intelligence (AI) and Computer Vision, and then describes the detected objects through Text-to-Speech (TTS) technology. By integrating deep learning algorithms, the system can accurately identify common objects such as furniture, vehicles, food items, and electronic devices. Additionally, it can recognize obstacles to help users navigate safely.