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

• Author(s):

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

• Keywords:

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

• 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

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Other Details

• Paper id:

  IJSARTV12I4104883

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-06

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