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@article{163494,
        author = {B.Saketh and M.V.Kishore and K.Vishnu Vardhini and S.Kavitha and K.Akash},
        title = {ASSISTANCE SYSTEM FOR PEOPLE WITH VISUAL IMPAIRMENTS USING IoT },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2135-2139},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163494},
        abstract = {The “Assistance System for People with Visual Impairments Using IoT” presents an innovative assistive technology solution aimed at enhancing accessibility and Self-sufficiency for those with visual impairments which consists of two main components: Smart spectacles and Smart cane. Leveraging Raspberry Pi, Arduino, and Camera technology, the system integrates sophisticated algorithms for computer vision, for currency note recognition, person detection, and obstacle detection. Key components include the Raspberry Pi single-board computer, Pi Camera module, speaker module for voice output, Arduino, Ultrasonic sensor to detect obstacles, Buzzer, and specialized image processing software. In real-time, the system analyzes the live camera feed to detect individuals, detect obstacles, and identify currency notes, providing crucial auditory feedback and buzzer sounds to people with low vision. This seamless integration of components empowers People have visual problems to navigate their environment safely and independently while facilitating confident financial transactions through voice-based feedback.},
        keywords = {Raspberry Pi, Image processing, currency notes recognition and person detection, obstacle detection.},
        month = {},
        }