IoT Based Diabetic Retinopathy Monitoring System

In recent decades, people are majorly exaggerated by Diabetes mellitus, a chronically metabolism-based disorder, usually seen in middle-aged and elderly-aged groups. Diabetic Mellitus mainly causes visual impairment, skin diseases, hearing impairment, blood vessel narrowing, other nerve diseases, and many adverse effects on the human body. Visual impairment causes complete blindness of the eye. This visual impairment of diabetes is known as diabetic retinopathy. This article mainly focuses on the diabetic retinopathy observed in patients tormented with diabetes mellitus. This type of diabetes needs both an endocrinologist and an ophthalmologist monitoring. The continuous monitoring of both specialists is essential for diabetic retinopathy torment. In recent years, the electronic world maturated the medicinal field into standalone monitoring without the help of external support associated with the field of work and one such mature is IoT or the Internet of Things. The Internet of things impacts every system’s outgoingness to the beneficial. The proposed system makes classification on captures by ESP32 camera depending on the criticalness using the Teachable Machine, acting as a black box for classification and redirects the results to Blynk application through IoT. It classifies all the patient eye informative images and clarifies the concurrent stage of the diabetic patient. The proposed IoT Based Diabetic retinopathy monitoring system efficiently integrates with the Internet of things simplifies the systematic screening procedures for diabetic retinopathy with more efficiency and increased patient coverage and cost-effectiveness.