Paper Title
EYE MATE:A REAL-TIME VISUAL ASSISTANT
Article Identifiers
Registration ID: IJNRD_220288
Published ID: IJNRD2406458
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Keywords
blind,visually impaired,face Recognition,object detection,audio.
Abstract
In a world where vision is a crucial sense for our survival, it is discouraging that millions of individuals struggle with visual impairments. These challenges significantly impact their ability to lead independent and safe lives, as they encounter obstacles in navigating their surroundings, accessing essential information, communicating effectively, and even obtaining dietary recommendations customised to their needs. However, the objective of the proposed work is nothing short of transformative. It seeks to bridge this gap by turning the visual world into an auditory world, offering a lifeline to those with visual impairments. Through an advanced application supporting image processing and machine learning technologies, this system provides real-time guidance using a camera, enabling users to identify objects, human faces, text and an emergency help command to seek assistance. But what truly sets this solution apart is its ability to provide food recommendations based on images captured, all conveyed through audio output. Also an assistive daily activity alarm system designed to empower visually impaired individuals by assisting them in managing their daily activities and schedules. Past efforts have struggled to accurately differentiate between objects, resulting in reduced precision and unacceptable performance. In contrast, this initiative is strongly dedicated to delivering not only exceptional accuracy and peak performance but also a overall, practical solution that empowers visually impaired individuals. It aspires to make the world a better place for them by addressing the adaptable, dietary and daily routine needs, ultimately enhancing their quality of life and encouraging to be independent.
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How To Cite (APA)
Aswathi V K, Dinla O K, Agna P, Devika K P, & Fathimathul Shahala M K (June-2024). EYE MATE:A REAL-TIME VISUAL ASSISTANT. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), e632-e640. https://ijnrd.org/papers/IJNRD2406458.pdf
Issue
Volume 9 Issue 6, June-2024
Pages : e632-e640
Other Publication Details
Paper Reg. ID: IJNRD_220288
Published Paper Id: IJNRD2406458
Research Area: Engineering
Author Type: Indian Author
Country: Kannur, Kerala, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2406458.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406458
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