International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI Powered Navigation Assistance System for Visually Impaired |
|---|---|
| ABSTRACT | Navigating indoor spaces is a significant challenge for visually impaired individuals, as obstacles like people, furniture, doors, and electronic devices are difficult to perceive. Traditional aids, such as white canes, provide limited feedback and do not describe objects in the environment. Keeping these challenges in perspective, this project proposes an AI-powered assistive navigation system for visually impaired users. The primary aim of this system is to provide real-time detection of obstacles and generate voice guidance to alert users of potential hazards. The system applies lightweight machine learning models to identify and classify objects in the user’s environment, evaluate their position relative to the user’s forward path, and deliver timely audio cues only for relevant obstacles. By filtering unnecessary information and focusing on actionable guidance, the proposed solution seeks to enhance indoor mobility, safety, and independence. This system has potential applications in classrooms, offices, corridors, and other indoor spaces where visually impaired users require real-time navigation support. |
| AUTHOR | PROF. D.C. PARDESHI, MRUNAL BHOSALE, TANISHKA GAIKWAD, AARYA TAWARE, VED TUPE Guide, Department of Artificial Intelligence & Machine Learning Department, AISSMS's Polytechnic, Pune, Maharashtra, India Department of Artificial Intelligence & Machine Learning Department, AISSMS's Polytechnic, Pune, Maharashtra, India |
| VOLUME | 181 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1402015 |
| pdf/15_AI Powered Navigation Assistance System for Visually Impaired.pdf | |
| KEYWORDS | |
| References | [1] Mrs. Keerthiga.V, Anne P.S, Bhavani. G, “VISIONSPEAK: OBJECT DETECTION AND VOICE ASSISTANCE FOR VISUALLY IMPAIRED PEOPLE,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14479. Available: https://ijarcce.com/wp-content/uploads/2025/05/IJARCCE.2025.14479.pdf [2] R. Gawande, Shraddha P. Mankar, D. Sankhala, N. Watpal, S. Vispute, “Android Based Object Detection System for Visually Impaired,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2024. DOI Link: https://doi.org/10.22214/ijraset.2024.58593. Available: https://www.ijraset.com/best-journal/android-based-object-detection-system-for-visually-impaired-587 [3] Yogesh M, Dr. Madhu HK, “AI EYES: A REAL-TIME ASSISTIVE MOBILE APPLICATION for VISUALLY IMPAIRED PEOPLE USING OBJECT DETECTION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.151132. Available: https://ijarcce.com/wp-content/uploads/2026/01/IJARCCE.2026.151132-ai.pdf |
