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@article{174028,
        author = {G. V. N. V. Krishna and N. Y. Dhanamjaya Babu and B. Kavyasri and P. Ayyappa and M. Saritha Devi},
        title = {Object And Text Detection And Recognition For Blind People Using Raspberry Pi - Opencv Domain},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2380-2385},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174028},
        abstract = {This paper centers on developing a smart surveillance system designed for real-time object and text detection and recognition for blind people using raspberry pi. The smart glasses for the visually impaired is innovative assistive technology designed to enhance the mobility and the independence of individuals with visual impairments. This system integrates ultrasonic sensors to detect obstacles in the user’s path, providing spatial awarness to prevent collisions. An intuitive switch allows users to capture images of text, which are then processed using Optical Character Recoginition (OCR) to convert printed text into spoken words. Additionally, the system employees YOLO (You Only Look Once) for real time object detection, enabling the identification of various objects in the user’s enviornment. Audio feedback is delivered through earphones, providing immediate and actionable information about obstacles and detected objects. This multi-functional approach combines obstacle detection, text recognition, and object identification, offering a comprehensive solution to support the visually impaired in navigating their surroundings and accessing written content.},
        keywords = {Real-Time Object Detection and Recognition, OpenCV for Advanced Image Processing, YOLO (You Only Look Once) for Object Recognition, OCR (Optical Character Recognition) for Character Recognition and convert text into speech and Ultrasonic sensor for Object Detection.},
        month = {March},
        }