NETRA-AI: An AI-Based Real-Time Vision Assistance System for Visually Impaired People Using Object Detection and Voice Guidance

The condition of visual impairment limits a person's ability to perceive what exists in their surroundings and to recognize objects which appear in their surroundings. People who experience visual impairment require artificial intelligence and computer vision solutions which enable them to perceive their surroundings while maintaining their independence. The researchers developed NETRA-AI which operates as an advanced vision assistant with real-time capabilities. The system uses speech synthesis to provide audio feedback after its deep learning system detects objects. The system enables users to perform object detection through voice commands while it provides automatic detection mode and emergency SOS alerts and reminder systems and memory assistance and multi-camera functionality. The system enables users to access multiple camera sources which include laptop cameras and mobile cameras and USB cameras and IP cameras for use in different settings. The experimental results demonstrate that the system effectively identifies common objects while producing instant auditory alerts which improve both safety and situational awareness for users who are visually impaired.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-03-20
DOI
https://doi.org/10.64388/irev9i9-1715263
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
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article

NETRA-AI: An AI-Based Real-Time Vision Assistance System for Visually Impaired People Using Object Detection and Voice Guidance

Vandana Kumari, Sunny Patel, Shubham Kumar, Abhishek Kumar Gupta et al.
Iconic Research and Engineering Journals
Tactile and Sensory Interactions
article

NETRA-AI: An AI-Based Real-Time Vision Assistance System for Visually Impaired People Using Object Detection and Voice Guidance

Vandana Kumari, Sunny Patel, Shubham Kumar, Abhishek Kumar Gupta, Rahul Kumar
article en

Abstract

The condition of visual impairment limits a person's ability to perceive what exists in their surroundings and to recognize objects which appear in their surroundings. People who experience visual impairment require artificial intelligence and computer vision solutions which enable them to perceive their surroundings while maintaining their independence. The researchers developed NETRA-AI which operates as an advanced vision assistant with real-time capabilities. The system uses speech synthesis to provide audio feedback after its deep learning system detects objects. The system enables users to perform object detection through voice commands while it provides automatic detection mode and emergency SOS alerts and reminder systems and memory assistance and multi-camera functionality. The system enables users to access multiple camera sources which include laptop cameras and mobile cameras and USB cameras and IP cameras for use in different settings. The experimental results demonstrate that the system effectively identifies common objects while producing instant auditory alerts which improve both safety and situational awareness for users who are visually impaired.

Iconic Research and Engineering JournalsVol. 9(9)
Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Tactile and Sensory Interactions
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NETRA-AI: An AI-Based Real-Time Vision Assistance System for Visually Impaired People Using Object Detection and Voice Guidance — Vandana Kumari, Sunny Patel, et al. · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS