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Abstract
Meimobian Gland Dysfunction (MGD) means the disease of dry eye, which is based on millions of the world. This project shows a computer-based vision system that uses U-NET for automated classification using U-Net Architecture. After successful login, the user can upload any eye image to analyze. The U-NET model is the process of sent photos to find the MGD marks. which shows the eye from MGD. This helps the eyes of the eye and health experts in MGD disease. The specified system is more accessible and used for clinical applications and Teledic. Using the study depth, the system is more powerful to analyze. The U-NET enrollment ensures the extraction and organization of the situation. It is compared to traditional conditions, which has been expected to indicate the truth with a speedy speed. Web boards send a distance access and effectively for a large -scale analysis. Mostly, this system is a major progress in the analysis of the mGD, control early findings and patient results.