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:-Smart Glasses, Visual Impairment, Object Detection, OCR, Text-to-Speech, IoT
Gharat. et al. (Tue,) studied this question.