Early Diabetes Detection System

Project Title

Early Diabetes Detection System

Project Area of Specialization Computer ScienceProject Summary

Diabetic Retinopathy (DR) is an eye ailment which influences eighty to eighty-five percent of 

the patient who has diabetes for more than ten years. the retinal fundus images are commonly

used for detection and analysis of diabetic retinopathy disease in the clinic. in this project, pre-

processing of raw retinal fundus images are performed using extraction of green channel,

histogram equalization, image enhancement and resizing technique. The proposed method is

expected to be able to detect exudates well.

Project Objectives

To design and formulate an algorithm which will detect early diabetic in a patient.

Project Implementation Method

1. Image acquisition

2. Preprocessing

3. Image detection

4. Image classification

5. Image recognition

6. Results

Benefits of the Project

1. The proposed system will be assisting a layman for early diabetic detection using mobile 

cam

2. cost-effective

Technical Details of Final Deliverable

1. The proposed system will be a mobile App which will automatically detect diabetic of a

person using mobile cam.

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Others Core Technology OthersOther TechnologiesSustainable Development Goals Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	50000
Tablet	Equipment	1	40000	40000
Miscellaneous	Miscellaneous	1	10000	10000