Early detection of eye diseases is crucial to preserving vision and improving treatment outcomes. This paper examines the integration of eye-tracking systems with Smart Vision technology for the early detection of ocular conditions such as glaucoma, diabetic retinopathy, and cataracts. These systems analyze eye movements and visual responses to detect abnormalities associated with these diseases, providing a non-invasive and efficient method for diagnosis.The proposed technology focuses on identifying potential eye disorders at an early stage, enabling timely intervention and reducing the risk of vision loss. By monitoring parameters such as pupil reactions, peripheral vision, and contrast sensitivity, the system offers a cost-effective solution for accessible eye care. Its non-invasive nature, combined with automated analysis, ensures ease of use and wider applicability, particularly in underserved regions.The results emphasize the potential of Smart Vision technology to revolutionize eye care, making diagnosis more accessible, accurate, and patient-friendly. This research demonstrates how the system could serve as a valuable tool in improving early diagnosis and intervention in both urban and rural healthcare settings.
Eye Tracking, Glaucoma, Cataracts, Diabetic Retinopathy, Smart Vision, Non-invasive Diagnostics
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