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@article{180487,
        author = {Prof. Shah Saloni Niranjan and Gaikwad Sayali R. and Chavan Dipti R. and Dhavale Jayashri A.},
        title = {Smart Glasses For Blind People},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1334-1336},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180487},
        abstract = {Visually 
impaired 
individuals 
face 
numerous challenges in navigating and interacting 
with their environment independently. This project 
proposes the development of Smart Glasses for Blind 
People using image processing and voice assistance to 
provide a real- time, hands-free solution for obstacle 
detection and object recognition. The system consists 
of a camera-equipped wearable device that captures 
the surrounding environment, processes the visual data 
using computer vision algorithms, and provides 
auditory feedback through a speaker or bone  
conduction headset. Using technologies such as Open 
CV, object detection models (e.g., YOLO), and text-to
speech conversion, the glasses alert the user a bout near 
by obstacles and recognized objects. This enhances 
situational awareness and mobility for blind users, 
making day-to-day tasks safer and more manageable. 
The system is cost- effective, portable, and designed to 
operate in both indoor and outdoor environments, 
offering a promising assistive technology solution for 
the visually impaired community.},
        keywords = {Smart Glasses, Blind Assistance, Image  Processing, Object Detection, Obstacle Avoidance,  Voice Feedback, Computer Vision, Text-to-Speech},
        month = {June},
        }