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@article{177902,
        author = {Rutuja Tandalwade and Surbhi Thakur and Preksha Shetye and Prof. Toshi Jain},
        title = {Augmented Reality Navigation System for visually impaired people},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3846-3853},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177902},
        abstract = {In today’s technologically advanced world, visually impaired individuals face significant challenges in navigating their surroundings independently. This project proposes an Augmented Reality (AR) based Navigation System designed to assist visually impaired people by providing real-time obstacle detection and navigation guidance. The system leverages com- puter vision techniques, object detection algorithms, and audio feedback mechanisms to detect obstacles and convey navigation information. Using a combination of Android Studio with Kotlin and Unity with C, the system processes live camera feed to identify objects in the user’s path and provides audio alerts. The proposed solution is cost-effective, easily accessible, and eliminates the need for expensive hardware. This innovation enhances the mobility, safety, and independence of visually impaired individuals, offering a step forward toward inclusive technology.},
        keywords = {Augmented Reality, Navigation System, Visually Impaired, Obstacle Detection, Assistive Technology.},
        month = {May},
        }