MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202641118839 A) filed by Easwari Engineering College; and Srm Institute Of Science And Technology,ramapuram Campus on October 05, 2026, for Iot-Based Retinal Disease Classification System Using Machine Learning..
Inventors include Pratheesha G; Dr. S. Kavitha; and Dr. K. Rajalakshmi.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: ABSTRACT OF THE INVENTION An IoT-enabled machine learning system and method for automated classification of retinal diseases is disclosed. The system comprises an image acquisition module employing a fundus camera and/or an ESP32-CAM module to capture retinal images; a pre-processing module for noise reduction and contrast enhancement; a feature extraction module for identifying clinically relevant features such as blood vessels, microaneurysms, exudates and lesions; a classification module employing K-Nearest Neighbours and Support Vector Machine algorithms to classify retinal images into Normal, Diabetic Retinopathy, Glaucoma and Other Abnormality categories; a MATLAB-based graphical user interface; and an IoT communication module employing ESP8266/ESP32 microcontrollers to transmit results to a remote server and generate alerts to healthcare providers. The system achieves classification accuracy of about 93% to 97% within an average processing time of under 5 seconds, facilitating rapid, low-cost, remote diagnosis of retinal diseases suited to rural and resource-constrained healthcare settings. TOTAL NO OF WORDS IN ABSTRACT: 144
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