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Volume 12, Issue 4 (April 2026)

Ai -power Based Blind And Visually Impaired System For Smart Glass

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Balaji C Dhanush P Hariprasanna K Bairavaprakash.C.P Mahadevan

Abstract

Visual Impairment Creates Major Challenges In Daily Life And Mobility, As Individuals Often Struggle To Detect Obstacles And Recognize People Around Them. To Address These Issues, Smart Assistive Technologies Play A Vital Role In Improving Independence And Safety. This Project Uses Object Detection To Identify Items Ahead, Helping Users Navigate Their Environment More Effectively. It Also Includes A Face Recognition System To Identify Both Familiar And Unfamiliar Individuals. A Deep Learning-based Convolutional Neural Network (CNN) Processes Images Captured By A Camera And Classifies Them Accurately. The Detected Information Is Then Converted Into Audio Output, Providing Voice-based Guidance To The User And Offering A More Efficient Solution Compared To Traditional Methods Like White Canes

Keywords

Visual Impairment Assistive Technology Object Detection Face Recognition Deep Learning Convolutional Neural Networks (CNN) Audio Output Smart Navigation Computer Vision Voice Assistance.

Paper ID

IJSARTV12I4104883

Publication Date

April 6, 2026

Research Area

CSE

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