Makwana, Parthiv and Patel, Fahad and Pandya, Dhairya and Kumar Sahu, Abhishek and Patel, Harsh (2025) AI Enabled Smart Glasses. International Journal of Innovative Science and Research Technology, 10 (3): 25mar667. pp. 869-876. ISSN 2456-2165

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Abstract

Visual impairment significantly impacts mobility, independence, and overall quality of life. Traditional assistive technologies such as white canes and guide dogs provide limited support and are not always accessible to everyone due to cost or training requirements. With the rise of artificial intelligence (AI) and wearable technology, there is an opportunity to develop smart assistive solutions that provide real-time guidance and object recognition for visually impaired individuals. This paper presents the design, development, and evaluation of Smart Glasses for Visually Impaired Persons, an AI- powered wearable device that assists users by converting visual data into auditory cues. The system integrates computer vision, object detection, text-to-speech conversion, and GPS-based navigation to help visually impaired individuals recognize objects, avoid obstacles, and move independently in different environments. A compact camera module captures images in real time, processes them through AI-based algorithms, and provides immediate verbal descriptions to the user. The research discusses hardware and software development, algorithm implementation, and usability evaluation to assess the efficiency and accuracy of the device. Experimental results demonstrate that the smart glasses significantly improve situational awareness and mobility for visually impaired individuals. By offering a cost-effective and user-friendly alternative to existing mobility aids, this study contributes to the advancement of assistive technology and accessibility solutions.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Editor IJISRT Publication
Date Deposited: 28 Mar 2025 10:11
Last Modified: 28 Mar 2025 10:11
URI: https://eprint.ijisrt.org/id/eprint/153

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