Early Diabetics Detection system

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

Project Title

Early Diabetics Detection system

Project Area of Specialization

Artificial Intelligence

Project 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 System

Type of Industry

IT , Medical

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com