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Publication: IIP Proceedings Year: 2022, Month: November Page No: 101-112, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://rsquarel.org/assets/docupload/rsl20235C79A938236F403.pdf
THIRD EYE: AI BASED VISION SYSTEM FOR VISUALLY IMPAIRED USING DEEP LEARNING
Area/Stream: Artificial Intelligence, Authors: Ancy Thomas, Shyam U, Shreyon Barman Keywords: Machine Learning, Deep Learning, Computer Vision, Face Identification, Google Cloud Vision, Classification, Object Detection. Book Name /series: Futuristic Trends in Artificial Intelligence ,Volume 2, Book 16, Chapter 10Publication: IIP Proceedings Year: 2022, Month: November Page No: 101-112, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://rsquarel.org/assets/docupload/rsl20235C79A938236F403.pdf
Abstract:
The objective of the project is to design and build a vision-based AI system that leverages deep learning techniques for helping visually impaired and blind persons. Individuals who have lost their vision, as well as their families, friends, and society, are all impacted. Complete vision loss or degradation can be frightening and overwhelming, causing those affected to doubt their ability to maintain their independence, pay for necessary medical treatment, keep their jobs, and provide for themselves and their families. Loss of vision has far-reaching health implications that extend beyond the eye and visual system. Falls, injury, and deterioration in mental health, cognition, social function, employment, and education levels have all been linked to vision loss. The project aims at providing vision-based solution for visually impaired using state-of-the-art deep learning techniques.
Cite this: Ancy Thomas, Shyam U, Shreyon Barman,"THIRD EYE: AI BASED VISION SYSTEM FOR VISUALLY IMPAIRED USING DEEP LEARNING", Futuristic Trends in Artificial Intelligence ,Volume 2, Book 16, Chapter 10, November, 2022, 101-112, 978-93-95632-70-6, https://rsquarel.org/assets/docupload/rsl20235C79A938236F403.pdf
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