VLSI-Based Diabetic Retinopathy Detection System

Author(s)	Mr. Purushottam Chawake, Mr. Nirmal Zade, Ms. Preet Vishwakarma, Ms. Saniya Shende, Mr. Sujal Sapkal, Ms. Veena Narnaware, Mr. Kunal Paithankar
Country	India
Abstract	Diabetic Retinopathy (DR) is a severe eye complication caused by diabetes that may lead to permanent blindness if not detected early. Traditional DR detection methods depend on ophthalmologists manually analyzing retinal images, which is time-consuming and inaccessible in remote areas. This paper presents a VLSI-based hardware system for automatic detection of diabetic retinopathy using Convolutional Neural Networks (CNN) implemented on FPGA. The proposed system utilizes an Artix-7 FPGA board integrated with a MIPI camera for retinal image capture and an LCD display for result output. The design offers real-time detection, low power consumption, and portability. Experimental results demonstrate the feasibility of deploying CNN-based medical image analysis directly in hardware, making screening faster and more accessible in rural regions.
Keywords	VLSI; Diabetic Retinopathy; FPGA; CNN; Medical Image Processing; Artix-7; Hardware Implementation.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-11-12
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.59738

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