Edge AI enabled smart vision assistant for visually challenged individuals

Peddinti Keerthana; Raavi Satish; Mandala Hemanth; Paritala Satish; Sowjanya reddy; Vankala Atchuta rao

Edge AI enabled smart vision assistant for visually challenged individuals

April 2026

Vol-12, Issue-2

Paper ID: 28237

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electrical and electronics engineering

Keywords

Edge AI Computer Vision Assistive Technology Object Detection Visual Impairment Wearable Devices Real-Time Processing Smart Navigation

Abstract

This project presents an Edge AI–enabled smart vision assistance system for visually challenged individuals. The system uses computer vision and deep learning models deployed on edge devices to process real-time visual data with low latency and enhanced privacy. A camera captures the surroundings, and features such as object detection, scene understanding, and text recognition are applied to interpret the environment. The processed information is delivered through an audio feedback system using text-to-speech technology. By reducing reliance on cloud computing, the system ensures faster response and reliability. It aims to improve independent navigation, safety, and overall quality of life for visually impaired users.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Peddinti Keerthana	Anil neerukonda institute of technology and sciences
2	Raavi Satish	Anil neerukonda institute of technology and sciences
3	Mandala Hemanth	Anil neerukonda institute of technology and sciences
4	Paritala Satish	Anil neerukonda institute of technology and sciences
5	Sowjanya reddy	Anil neerukonda institute of technology and sciences
6	Vankala Atchuta rao	Anil neerukonda institute of technology and sciences

How to Cite

Use the following formats to cite this article in your research.

APA Style

Keerthana, Peddinti, Satish, Raavi, Hemanth, Mandala, Satish, Paritala, reddy, Sowjanya, & rao, Vankala Atchuta (2026). Edge AI enabled smart vision assistant for visually challenged individuals. International Journal of Advance Research and Innovative Ideas In Education, 12(2), 928-935.

MLA Style

Keerthana, Peddinti, et al. "Edge AI enabled smart vision assistant for visually challenged individuals." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 2, 2026, pp. 928-935.

IEEE Style

Peddinti Keerthana, Raavi Satish, Mandala Hemanth, Paritala Satish, Sowjanya reddy, and Vankala Atchuta rao, "Edge AI enabled smart vision assistant for visually challenged individuals," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 2, pp. 928-935, 2026.

Vancouver Style

Keerthana Peddinti, Satish Raavi, Hemanth Mandala, Satish Paritala, reddy Sowjanya, rao Vankala Atchuta. Edge AI enabled smart vision assistant for visually challenged individuals. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(2):928-935.

Harvard Style

Keerthana, Peddinti, Satish, Raavi, Hemanth, Mandala, Satish, Paritala, reddy, Sowjanya, & rao, Vankala Atchuta (2026) 'Edge AI enabled smart vision assistant for visually challenged individuals', International Journal of Advance Research and Innovative Ideas In Education, 12(2), pp. 928-935.

Chicago Style

Keerthana, Peddinti, et al. "Edge AI enabled smart vision assistant for visually challenged individuals." International Journal of Advance Research and Innovative Ideas In Education 12, no. 2 (2026): 928-935.

Turabian Style

Keerthana, Peddinti, et al. "Edge AI enabled smart vision assistant for visually challenged individuals." International Journal of Advance Research and Innovative Ideas In Education 12, no. 2 (2026): 928-935.