Jul 2026· IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies· pp. 285-290· 0 citations· 27 references
Abstract
Within the framework of assistive technologies for visually impaired users, this paper introduces JU-EYE robot, a smart simulation-based navigation system that is meant to be used on the University of Jordan campus. The proposed system combines a depth-enabled camera (RGB-D) with a YOLO detection model to categorize obstacles while also using depth data to estimate their distances and a scene sensing layer linked to an AI-assistant to generate context-aware decision making. The system uses graph algorithms to plan paths, which help users to find the best and safest routes around the campus independently. By providing real-time audio feedback through an AI-based assistant supported with bilingual voice interaction, the system provided impactful navigation and robust scene awareness.
The aim is to design and develop an end-to-end multimodal vision-language-speech interface which will enhance the navigational independence and awareness of the Blind and Visually Impaired (BVI) people. The system uses the idea of the “Contextual Gap,” based on the live camera capture and using computer vision and OCR...
Kousar Nikhath A, Simrah Mahreen, Neha Nomula et al.· 2026 International Conferenc...· 0 citations
An AI-powered assistive system designed to enhance the mobility, safety, and independence of visually impaired individuals, creating a smart, voice-guided companion that empowers visually impaired users to navigate their surroundings with confidence and independence.
G. Sireesha, K. Prasanthi, Kanchumarthi Nirmala et al.· 0 citations
Visually impaired individuals encounter considerable difficulties while navigating indoor and outdoor environments due to their inability to perceive obstacles, objects, and surrounding conditions. Conventional assistive aids, such as white canes and guide dogs, offer only limited support because they primarily detect...
Ninin K. S., J. Binu, Joyal Christy Jose et al.· International Conference Inn...· 0 citations
Visually impaired individuals face two main challenges when shopping independently: accessing product information and moving safely. Natural-language interfaces can solve the first problem by allowing users to easily ask about the desired item. However, ensuring safe physical mobility in a complex store environment rem...
Zhan Shi, Larissa R. de S. Shibata, Da-Yuan Chen et al.· IEEE International Symposium...· 0 citations
This work proposes a user-friendly, interactive framework that eliminates the reliance on globally consistent maps and integrates visual perception with Large Language Models (LLM) to interpret user commands via text or voice.
Praveen Kumar, K. Guruprasad, Tushar Sandhan· 0 citations
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