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International Journal of Trend in Scientific Research and Development (IJTSRD)
               Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies
                                       Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470

                   Using Smart Vision for Early Detection of Eye Disorders:
                                     A Study on Eye Tracking Systems

                                                  1
                                  Ritika Thombre , Aditi Derkar , Prof. Anupam Chaube
                                                                                          3
                                                                 2
                                           1,2,3 Department of Science and Technology,
                         1,2,3 G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, India

             ABSTRACT                                           accessibility.  With  advancements  in  algorithms  and
             Early  detection  of  eye  diseases  is  crucial  to  preserving   hardware, Smart Vision-powered eye-tracking systems have
             vision  and  improving  treatment  outcomes.  This  paper   the potential to revolutionize eye care, reducing preventable
             examines  the  integration  of  eye-tracking  systems  with   blindness  and  ensuring  earlier,  more  effective  treatment
             Smart Vision technology for the early detection of ocular   worldwide.
             conditions  such  as  glaucoma,  diabetic  retinopathy,  and
                                                                                   CATARACT
             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   Common Symptoms:
             technology  to  revolutionize  eye  care,  making  diagnosis     Blurred or cloudy vision
             more  accessible,  accurate,  and  patient-friendly.  This            GLAUCOMA
             research demonstrates how the system could serve as a
             valuable tool in improving early diagnosis and intervention
             in both urban and rural healthcare settings.


             KEYWORDS:  Eye  Tracking,  Glaucoma,  Cataracts,  Diabetic
             Retinopathy, Smart Vision, Non-invasive Diagnostics

             I.     INTRODUCTION
             1.  The importance of early diagnosis in preventing vision
                loss due to ocular  diseases is  critical. Conditions like
                glaucoma,  diabetic  retinopathy,  and  cataracts  are
                leading  causes  of  blindness  worldwide,  often
                progressing without noticeable symptoms in their early

                stages. For instance, glaucoma can silently damage the
                optic nerve, while diabetic retinopathy and cataracts can   Common Symptoms:
                impair vision gradually, making early detection vital to     Blurred or cloudy vision
                prevent irreversible damage.                      Loss of Peripheral Vision
             Traditional  diagnostic  methods  often  rely  on  invasive     DIABETIC RETINOPATHY
             procedures  or  specialized  equipment,  which  can  be
             inaccessible in underserved regions. Eye-tracking systems
             integrated  with  Smart  Vision  technology  provide  an
             innovative,  non-invasive  alternative.  By  analyzing  eye
             movements,  pupil  reactions,  and  visual  responses,  these
             systems can detect  early signs of abnormalities,  enabling
             timely intervention.
             This technology’s non-invasive nature and adaptability make
             it  ideal  for  widespread  screening,  particularly  in  remote
             areas with limited healthcare access. It not only improves
             diagnostic  accuracy  but  also  bridges  critical  gaps  in


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