• In this project two software applications were developed (Android and Arduino apps). Both apps are designed to be used to control and operate the Glaucoma device and to display the results on an Android device.
  • Glaucoma is a group of eye diseases that generally involves damage to the optic nerve and loss of vision due to damage to the visual field. This condition can result from high intraocular pressure or even arise when the intraocular pressure is within normal limits. This project implemented a Glaucoma indicator device prototype using two sensors (force and pressure) to predict the intraocular pressure.
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  • Glaucoma is a chronic eye disease which causes progressive damage to the optic nerve and leads to blindness if not treated. This work demonstrates that an automated AI system can accurately and remotely diagnose glaucoma from fundus images of the retina of the eye. The project is comprised of two main parts. In the first part, raw digital fundus images undergo pre-processing to prepare them for analysis. In the second...