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@article{173998,
        author = {Prof. Shah Saloni Niranjan and Chavan Dipti Ramchandra and Gaikwad Sayali Ramesh and Dhavale Jayashri Anil},
        title = {A Survey Paper On :  “Smart Glasses For Blind People},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2165-2167},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173998},
        abstract = {The primary abstract of this project is to develop a pair of smart glasses that provide real-time assistance to visually impaired individuals by detecting and identifying obstacles in their path. The device aims to accurately differentiate between common obstacles like cats, dogs, and humans using integrated sensors and camera technology. Upon detection, the system will deliver immediate audio feedback, allowing users to make informed decisions and navigate safely. In addition to obstacle detection, the project aims to create a device that is affordable, lightweight, and user-friendly, ensuring it can be used comfortably throughout the day. Efficient power management is a key goal, with a focus on maximizing battery life to allow extended usage without frequent recharging. By leveraging cost-effective components, the project seeks to develop a solution that is accessible to a broader audience, making advanced assistive technology available to those who need it most. Ultimately, the goal is to enhance the independence, safety, and confidence of visually impaired individuals through innovative yet practical design.},
        keywords = {Obstacle detection, Object Detection, Machine Learning models, IOT (Internet of Things).},
        month = {March},
        }