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
- Anumol V S, Elna S Bijo, Neha Maria Joji, Siya Varghese, Teena George, AI-Based Medicinal Plant Identification Using Deep Learning for Mobile Applications , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Ankith Issac Dominic, Meera Johnson, Jaida Fathima, Alaina Benny, Amritha Soloman, PARK-EZE: An IoT based Smart Parking System using DLSTM Prediction , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof.Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Shahina K.K, Abia Paul , Adole Saju, Hemil Antony, Sherin Paulose, Literature Survey On Windows Incident Response Tool , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- R Karthika, Maria Toms, S R Aadrash, P U Prabath, InsightAI: Bridging Natural Language and Data Analytics , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Leo Jose, Navin Shibu George, Raju, Safa Haroon, Bini M Issac, Wearable Technology for Driver Monitoring and Health Management: A Comprehensive Survey , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Tiny Molly v, Alanta Maria Shaji , Adithya Biju , Anjali Krishna Satheesh , Athulya Pradeep, Literature Survey On Cloudsentry AI , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Rekhil M Kumar , Albin Joseph, Ian Johny, Nevil Biju, yedhu Krishnan, A Literature Review On Indoor Localization and Navigation for Campus , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Adams Mathew, Adithya Sanil, Akhil J Medackal, Nikhil J Medackal, Dyni Thomas, A Literature Review on IMAGE FORGERY DETECTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
