AI-Powered Based Blind and Visually Impaired System for Smart Glass

Authors

  • P. Poornima BE, Department of Computer Science and Engineering, Sree Sakthi Engineering College, Coimbatore, Tamil Nadu, India Author
  • V. Ranjitha BE, Department of Computer Science and Engineering, Sree Sakthi Engineering College, Coimbatore, Tamil Nadu, India Author
  • S. Shobana BE, Department of Computer Science and Engineering, Sree Sakthi Engineering College, Coimbatore, Tamil Nadu, India Author
  • S. Sowndharya BE, Department of Computer Science and Engineering, Sree Sakthi Engineering College, Coimbatore, Tamil Nadu, India Author
  • Mrs. P. Prema Assistant Professor, Department of Computer Science and Engineering, Sree Sakthi Engineering College, Coimbatore, Tamil Nadu, India Author

DOI:

https://doi.org/10.32628/IJSRSET25122194

Keywords:

Assistive Technology, Artificial Intelligence, Computer Vision, Scene Understanding, Accessibility, Smart glass

Abstract

This paper presents the concept of AI-powered smart glasses designed to significantly enhance the independence and quality of life for individuals who are blind or visually impaired. Leveraging advancements in artificial intelligence, computer vision, and wearable technology, the proposed system integrates real-time object detection and recognition, facial recognition, scene understanding, and text-to-speech capabilities into a discreet and user-friendly smart glass form factor. The glasses aim to provide users with critical environmental information through auditory feedback, facilitating safer navigation, social interaction, and access to information. This abstract highlights the potential of AI-driven assistive technology to overcome the limitations of traditional aids, fostering greater autonomy and inclusion for the visually impaired community.

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References

H. M. Mohammadi, M. H. Edrisi and Y. Savaria, "Enhanced Artificial Vision for Visually Impaired Using Visual Implants," in IEEE Access, vol. 11, pp. 80020-80029, 2023.

Leong, Xinnan, and R. Kanesaraj Ramasamy. "Obstacle detection and distance estimation for visually impaired people." IEEE Access 11 (2023): 136609-136629.

Nitta, Yasuhiro, et al. "Importance rank-learning of objects in urban scenes for assisting visually impaired people." IEEE Access 11 (2023): 62932-62941.

Bhatlawande, Shripad, et al. "A Smart Clothing Approach for Augmenting Mobility of Visually Impaired People." IEEE Access 12 (2024): 24659-24671.

M. Awais Ahmad et al., "MathVision: An Accessible Intelligent Agent for Visually Impaired People to Understand Mathematical Equations," in IEEE Access, vol. 13, pp. 6155-6165, 2025.

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Published

27-04-2025

Issue

Section

Research Articles

How to Cite

[1]
P. Poornima, V. Ranjitha, S. Shobana, S. Sowndharya, and Mrs. P. Prema, “AI-Powered Based Blind and Visually Impaired System for Smart Glass”, Int J Sci Res Sci Eng Technol, vol. 12, no. 2, pp. 713–715, Apr. 2025, doi: 10.32628/IJSRSET25122194.

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