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, NLPPublished
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
- Blesson Thomas, Boney Sunny, Helina Jiji, Mariya Binoy, Elisabeth Thomas, AI-Enabled UAV Systems for Disaster Response and Human Rescue: A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Anna Thomas, Esther Thankam Mathew, Anitta Emmanuel, Noel Thomas, Auxilia: Assistive Learning Tool for Children with Down Syndrome , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- NITHYA M V, ADIL SIYAD K.M, AFINSHA P.B, GAUTHAM T.S, ABHIJITH K.P, SALIH SUDHEER, ARJUN SANKAR R.S, C.S ADHITHYAN, JEWELLERY SHOPPING WITH FACIAL RECOGNITION , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- S Sreejith, Akshara Santhosh, Ardra Haridas, S Jayakrishnan, Ojus Thomas Lee, Chitra Merin Varghese, BrailE- Reading Device for the Deaf and Blind in Real Time Speech , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Adona Shibu, Aarunya Retheep, Albin Joseph, Ali Jasim, Adona Shibu , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Yamini C.K, Ajin krishna K U, Akhil Thilak, Amith Raj P R, Aromal A S, Alex joy, Jishnu Babu T, Jeswin jaison, VIDEO MOMENT RETRIEVAL SYSTEM , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Aniruddha Das, Avisikta Modak, The Carbon footprint of Machine Learning Models , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jesvin Jelson , Kesiya Rachel Johns, Mehak , Ken Jacob Zachariah, Neenu R, Custom Cart – Virtual try-on in e-commerce platforms using generative AI , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- V Naveen, S Rekha, A Concise Review On E-Commerce Website For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Thejuskrishnan, Amal, Vyshnav M, Narayanan K, Saira Shamsudheen K S, SPEAK: An AI-Based Assistive Video Communication System for Speech and Sign Language Translation , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
You may also start an advanced similarity search for this article.
