In the present, one of the most common chronic diseases is dry eye. Extreme eye
pain and visual disruption are the negative impacts of dry eye disease. This project aims to
develop an application for analyzing dry eye syndrome based on a real-time analysis
approach. The cornea’s tear bubbles burst after a blink will be analyzed by using the Deep
Convolutional Neural Network Break Up Time (CNN-BUT) algorithm. This research aims to
give benefits to optometrists and ophthalmologists in assessing and diagnosing possible Dry
Eye Syndrome and assist its users to know their current eye condition.