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.
Assistive Technology, Computer Vision, YOLOv8, Artificial Intelligence, Vision Assistance, Accessibility
IRE Journals:
Shubham Kumar, Rahul Kumar, Sunny Patel, Abhishek Kumar Gupta, Dr. Vandana Kumari "NETRA-AI: An AI-Based Real-Time Vision Assistance System for Visually Impaired People Using Object Detection and Voice Guidance" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 1692-1696 https://doi.org/10.64388/IREV9I9-1715263
IEEE:
Shubham Kumar, Rahul Kumar, Sunny Patel, Abhishek Kumar Gupta, Dr. Vandana Kumari
"NETRA-AI: An AI-Based Real-Time Vision Assistance System for Visually Impaired People Using Object Detection and Voice Guidance" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715263