International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI-Enhanced Navigational Glasses for Blind

Author(s) Mr. Shardul Mhetre, Mr. Pranav Naik, Mr. Soham Walimbe, Mrs. S. A. Bagal
Country India
Abstract Visually impaired individuals encounter significant challenges in achieving safe and independent navigation in dynamic environments. Over the past decade, advancements in Artificial Intelligence (AI), computer vision, and sensor technologies have accelerated the development of intelligent assistive systems designed to enhance spatial awareness and mobility. This survey provides an in-depth look at modern navigational assistance solutions, encompassing hardware-based and AI-driven approaches. It explores the integration of embedded platforms, such as Raspberry Pi and Arduino, with camera modules and LiDAR for real-time obstacle detection and path guidance. In addition, deep learning techniques, including convolutional neural networks (CNNs), transformer-based vision models, and simultaneous localization and mapping (SLAM), have been examined for their roles in perception, scene understanding, and decision-making. This study further reviews multimodal data fusion methods, user interaction mechanisms such as audio and haptic feedback, and wearable implementations aimed at intuitive guidance. This study identifies key challenges related to latency, energy efficiency, cost, and user adaptability and outlines emerging research directions in edge AI and context-aware systems to enable robust, affordable, and intelligent navigation assistance for the visually impaired community.
Keywords Artificial Intelligence (AI), Assistive Technology, Navigational Assistance, Visually Impaired, Computer Vision, Obstacle Detection, Deep Learning, Sensor Fusion, Edge Computing, Wearable Devices, YOLO, Large Language Models (LLM)
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-12
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.60230
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E-ISSN 2582-2160
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