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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52822
Volume:
9 |
9 |
Sep 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Visual impairment affects over 2.2 billion people worldwide, limiting their independence and access to information. Traditional assistive devices often lack real-time environmental awareness, text recognition, and navigational support. This project proposes Smart Assistive Glasses for the Visually Impaired using Raspberry Pi Zero 2W equipped with camera and GPS module. The system integrates YOLOv3 Tiny – based object detection, Optical Character Recognition (OCR), and text-to-speech synthesis for real-time assistance. IoT integration through Blynk allows emergency alerts and remote monitoring. The proposed system aims to demonstrate enhanced object recognition, accurate text conversion to speech, and effective location-based alerting, significantly improving mobility and daily life independence for visually impaired users.
KEYWORDS
Publication Date
9/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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