Automated Diagnosing of Eye Disease in Real Time


  • Muhammad Rehan Faheem Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
  • Arslan Iftikhar Department of Computer Science, The Institute of Southern Punjab Multan, Pakistan
  • Nisar Hussain Department of Computer Science, University of Sialkot, Sialkot, Pakistan



Diagnoses, Retinopathy, Ophthalmologists, Cardiovascular, Pathology


The automated diagnosing of hypertensive retinopathy and also other diseases are rapidly increasing today. The objective of this product anticipated in the paper is to help ophthalmologists in conclusion and malady avoidance, making a difference to decide cardiovascular danger or different sicknesses where the vessels can be modified, and in addition to screening the pathology movement what's more, reaction to various medicines. With the help of Real Time devices, Eye disease is diagnosed at the early stages. Real time devices used the IOT and Cloud. By using IOT devices are able to collect and exchange data directly with other devices through the cloud computing. In this paper we, present the solution to solve the problems of patients which occurs the eye disease at real time, which is discussed in solution section.




How to Cite

Muhammad Rehan Faheem, Arslan Iftikhar, & Nisar Hussain. (2022). Automated Diagnosing of Eye Disease in Real Time. Journal of Computing & Biomedical Informatics, 3(01), 282–288.