Mobile Application Based Cataract Detection System

Cataract is one of the most common diseases that is experienced by human beings when they grow old. Cataract is a situation where we experience the formation of cloud on the lens of our eyes. This often leads to a decrease in vision and leads to vision impairment. The developing speed of cataract is not very fast. It is a slow process. It can affect single or both eyes. The main symptoms that this disease shows up are blurry vision, faded colors, trouble while seeing in bright light, etc. most often these symptoms result in trouble doing many activities. 33% of the people worldwide are suffering from this disease. Now the detection of disease is a tedious task. Most of the people who are suffering from this disease have to consult a doctor in order to detect the presence of this disease. This process is time-consuming and costly as well. In this paper, a method is proposed and implemented, a smartphone based android application is developed using the proposed methodology that can be used to detect the presence of the cataract in an individual's eye. The developed application is based upon Android architecture and can be used only on Android phones. Machine learning and image processing techniques are used to develop the proposed methodology. This system has been trained on a number of data sets in order to improve its accuracy and have resulted in the successful completion of this research.