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@article{189981,
        author = {Karthika E S and Rohith M R and Sabarinadh M M and Sidharth E S},
        title = {EYENIA-SMART NAVIGATION AND CURRENCY RECOGNITION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2519-2524},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189981},
        abstract = {This paper presents the design and development of a Smart Navigation and Currency Recognition System aimed at assisting visually impaired individuals through the integration of embedded technologies and artificial intelligence. Conventional assistive tools, such as white canes and guide dogs, provide limited situational awareness. To address these limitations, the proposed system employs a Raspberry Pi as the central processing unit, interfaced with a camera module, ultrasonic sensors, GPS, and GSM modules to enable intelligent navigation and environmental awareness. The system is capable of obstacle detection, face recognition, and currency identification, providing real-time audio feedback through Google Text-to-Speech (GTTS) technology. Designed for offline operation, portability, and cost-effectiveness, the proposed solution enhances user mobility and independence. By combining navigation, object recognition, and communication functionalities into a single compact device, this work contributes to the advancement of affordable and inclusive assistive technologies for the visually impaired.},
        keywords = {Smart navigation, visually impaired, assistive technology, Raspberry Pi, object detection, face recognition, currency recognition, ultrasonic sensor, GPS, GSM, Google Text-to-Speech (GTTS), artificial intelligence, embedded system, real-time feedback, accessibility.},
        month = {January},
        }