• Jay Shah
• Prof. D.T. Salunke
• Shubham Tripathi
• Abhishek More
• Vedansh Wani

Diabetic Retinopathy is one of the serious issues around the world. That can make giant debilitation the eyes, consisting of a lasting lack of vision. Early discovery of eye maladies builds the endurance fee by effective treatment. The proposed approach is to analyze AI gadget to differentiate DR utilizing Thermography pictures of an eye and to present the effect of warm type of variation from the norm in the eye structure as a finding imaging methodology which are treasured for ophthalmologists to do the medical determination. Warm photos are pre-handled, and established on floor highlights from dark pictures, genuine highlights from RGB and HSI pictures are extricated and arranged using classifier with distinctive blend of highlights. After that we make use of the pictures to our CNN classifier version and recognize the Diabetic Retinopathy.

Diabetic Retinopathy, Infrared Thermography, CNN

"AUTOMATIC DETECTION OF DIABETIC EYE DISEASE USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.628-631, July-2020, Available :http://www.jetir.org/papers/JETIR2007076.pdf

"AUTOMATIC DETECTION OF DIABETIC EYE DISEASE USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp628-631, July-2020, Available at : http://www.jetir.org/papers/JETIR2007076.pdf