YOLOv5 driven smart glasses for visually impaired

R. SWEATHA * and S. SATHIYA PRIYA

Electronics and Communication Engineering, Panimalar Institute of Technology, Anna university, Chennai, India.
 
Review
International Journal of Science and Research Archive, 2024, 12(01), 353–374.
Article DOI: 10.30574/ijsra.2024.12.1.0804
Publication history: 
Received on 27 March 2024; revised on 05 May 2024; accepted on 08 May 2024
 
Abstract: 
This project introduces an innovative AI-based interactive shopping assistance system tailored specifically for visually impaired individuals, aiming to enhance their shopping experience and promote inclusivity in retail environments. Leveraging advanced artificial intelligence algorithms, the system provides personalized assistance, navigation support, and seamless interaction for users facing visual challenges. Through intuitive interfaces and adaptive technologies, disabled individuals are empowered to navigate retail spaces with greater independence and confidence. The system utilizes a camera module and YOLO-based deep learning algorithms on a Raspberry Pi 4 for real-time object classification, converting processed information into accessible audio output. In addition to these features, the system incorporates a language customization capability using OCR and gTTS technology, enabling conversion of audio output into multiple languages based on user preference. By prioritizing the needs of visually impaired individuals, this groundbreaking system aims to enhance accessibility and promote an inclusive shopping experience for all.
 
Keywords: 
YOLOv5; OCR; gTTS; Raspberry Pi 4; Visually impaired; Deep learning algorithms.
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0