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International Journal of Advances in Engineering & Scientific Research

IOT -ENABLED SMART VISION ANALYZER AND RETINAL SCREENING SYSTEM FOR GLOBAL HEALTH PARTNERSHIP

K. Muthumanickam, V.Abinaya, U.K. Archana & P. Rohini

Dr. K. Muthumanickam, Associate Professor, Department of IT, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India

Ms. V.Abinaya, Student, Department of IT, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India

Ms. U.K. Archana, Student, Department of IT, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India

Ms. P. Rohini, Student, Department of IT, Kongunadu College of Engineering and Technology, Trichy, Tamilnadu, India

DOI : https://doi.org/ 10.5281/zenodo.19429022 Page No : 80-87

Published Online : 2026-04-05

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ABSTRACT

The number of world-related vision disorders is rapidly growing, and it concerns persons of any age. The retinal diseases that cause the cases of irreversible blindness include diabetic retinopathy, glaucoma and macular degeneration that cannot be reversed especially when they are not early detected. The availability of ophthalmologists and diagnostic facilities is limited in most of the rural and semi-urban regions; hence, they are usually diagnosed late and their sight is lost forever. Several models of classical retinal screening require manual inspection by experts, which is not only time-consuming but also expensive and highly reliant on the availability of specialists.Convolutional Neural Networks (CNN) can be used to detect the patterns of particular diseases, whereas Internet of Things (IoT) enables the transmission of data in real-time and remote monitoring. In this work, a portable retinal screening system, based on AI and IoT, is suggested, which consists of retinal image capture, OpenCV-based retina image preprocessing and classification of the disease severity on the scales of Normal, Mild, Moderate or Severe based on a trained CNN model. Its results are represented on a web dashboard and sent to an ESP32-based IoT device to provide immediate notifications and have doctors access it remotely. The suggested system is a low-cost, fast and easy-to-use solution that could be implemented in clinics, health camps and rural health facilities and help people to detect early and prevent the occurrence of permanent vision loss

Keywords: Deep Learning, Convolutional Neural Network, Image Processing, ESP32 Microcontroller, LCD Display.

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Cite this Article as: K. Muthumanickam, V.Abinaya, U.K. Archana & P. Rohini (2026), “IOT -enabled smart vision analyzer and retinal screening system for global health partnership”, International Journal of Advances in Engineering & Scientific Research, Volume 13, Issue 1, 2026, pp 80-87. DOI : https://doi.org/ 10.5281/zenodo.19429022

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