A Review of AI-Powered Tools to Help People With Visual Impairments
Abstract
In this paper, we introduce ECHOEYES - a computer vision- based assistive device for the blind. The system fuses computer vision for object and scene recognition, Optical Character Recognition for text identification and presents real time, context aware auditory feedback using Natural Language Processing. Although several tools such as Envision AI, Google Lookout, and Microsoft Seeing AI exist, they typically focus on limited capabilities such as text reading or object detection. ECHOEYES addresses this gap by offering a low‑cost, multi‑capability platform that combines navigation assistance, text reading, currency identification, familiar‑face recognition,
and emergency communication in one system. The device is lightweight, low‑power, and cost‑effective, making it accessible to a wider population. This paper outlines the system architecture, highlights research gaps in existing tools, and discusses how ECHOEYES can evolve into a comprehensive assistive technology for visually impaired individuals.
Keywords:
AL, Device, Visually impaired, Assistive technology, Computer vision, NLP
Published
Issue
Section
License
Copyright (c) 2026 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Dr.Amal M R, Allen Joseph, Jishnu suresh, Abhijith selvam, Aravind A S, AI Based Multi Robot Fire Suppression System , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Mekha , Abishek R Paleri, Athul Mohan, Avin Joshy, Smart Road Condition Monitoring and Optimal Routing System Using Yolo V11 , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Rehan T Raj, Rinil Johns, Reema Maria Suresh, Nehala Noushad, Anishamol Abraham, A Survey of Automatic Brain Tumor Detection and Classification Techniques , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Dr Anil A R, Amit Sankar Arun, Anandhu Anilkumar, Anandu S Sivan, Anoop Manoharan, DESIGNING OF A VOICE – BASED PROGRAMMING IDE FOR SOURCE CODE GENERATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Sreyas George, Gregan George, Ruth Tennyson, Rishil Shajan, Dr. Juby Mathew, MindPulse: Employee Mental Health Detection and Attrition Prediction App , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Aashish Tom Raju, Aneesh Varghese John, Ashish Shabu, Bibin Babu, Anishamol Abraham, Vision-Based Surveillance for Malpractice Detection: An Analysis of Pose Estimation and Object Detection , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Prof.Pavitha P.P , S Abhinav, Abida P Vaidyan , B Parvathi, A Critical Evaluation on Line of Sight Based Data Transmission A Review , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Bibin Babu, Arya S Nair, Ashish Shabu, Anna N Kurian, Leveraging AI for Optimized Website Development in Printing Shops: Tools, Benefits, and Future Directions , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Fabeela Ali Rawther, Abhinay A K, Anagha Tess B, Alan Joseph, Adham Saheer, Survey of Machine Learning and Deep Learning Approaches for Automated Hate Speech Detection and Sentiment Analysis in Multilingual Contexts , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Jyothika Anil, Milan Joseph Mathew, Namitha S Mukkadan, Reshmi Raveendran, Rintu Jose, Driver Drowsiness Detection Using Smartphone Application , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.