Abstract
Difficulties in obtaining a diagnosis and treatment and financial and logistical problems are identified as the leading causes of the high prevalence of blindness due to cataracts worldwide. With the increasing availability of portable fundus cameras and slit-lamp adapters for smartphones, cataract diagnosis can be enhanced in remote regions at a low cost using easy-to-handle devices. The aim of this article is to describe a patent application for a device created to capture lens images and classify cataracts automatically based on computer vision methods. The results are displayed after rapid calculations using numerous cataract measurement-based parameters, such as average color, standard color deviation, and comparison of color histograms. Future clinical validation studies will be performed based on this description.
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