Authors : Parthiv Makwana; Fahad Patel; Dhairya Pandya; Abhishek Kumar Sahu; Harsh Patel

Volume/Issue : Volume 10 - 2025, Issue 3 - March

Google Scholar : https://tinyurl.com/557pckda

Scribd : https://tinyurl.com/2s3c2e45

DOI : https://doi.org/10.38124/ijisrt/25mar667

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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.

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