AI Solution
to Solve Eye Problems

The introduction of the latest technological advancements and
the use of modern devices on a daily basis has changed our lifestyle.

The introduction of the latest technological advancements and the use of modern devices on a daily basis has changed our lifestyle.
Introduction

What is Ocular Interfacing?

The world of Information Technology is expanding at an unlimited pace. Interestingly, we are now at the verge of developing novel artificial intelligence (AI) tools that can even assist the physically challenged individuals in operating computer-based systems. Through the application of an advanced human-computer interface, human eye movements can be closely monitored, and the data can then be used to feed commands to a computer system in real time.
Furthermore, ocular parameters such as the duration and frequency of eye blinking, can be used to control the responsiveness of human-computer interface. This ocular human-computer interface is one of the many cutting edge technologies that are bound to revolutionize the concepts of AI in Vision Sciences.

What is Ocular Interfacing?

About Us

Welcome to OCULAR Interface
Pioneering Ocular Diagnostics in London

At OCULAR Interface, we are dedicated to transforming the landscape of eye health through ground-breaking research and development. As a London-based R&D company, our focus lies in the development of advanced ocular biosensors designed to detect and monitor various eye diseases. Our mission is to provide early detection tools that revolutionize the way eye conditions are diagnosed, treated, and managed.

Applications Of AI In Vision Science

  • Besides human-computer interfacing, deep learning algorithms are now being deployed to diagnose gross changes in the structure and function of eye.
  • These include a plethora of ocular pathologies such as diabetic retinopathy and age-related macular degeneration (ARMD).
diabetic retinopathy
Age-related macular degeneration (ARMD)
  • With the help of efficient diagnostic AI tools, patients seldom need to travel long distances to visit their ophthalmologists.
  • Rather, AI software can scan the eye of a diabetic patient to accurately detect the degree of their retinopathy. It is noteworthy that the precision of AI in diagnosing ARMD-related changes can even be as high as 90%.
Blogs

Latest Blog Posts

AI-Enhanced Bionic Vision Systems: Revolutionising Sight Restoration and Enhancement

Dr. Abhishek Mandal, PhD Scientific Advisor, OCULAR Interface An OCULAR Interface Exclusive   Keywords: Biosensor, Eyecare, Integration, Biosensors application   …

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The Tenacity of Generative Adversarial Networks (GANs) in Eye-care

Varun Ranganathan, MCOptom Clinical Optometrist An OCULAR Interface Exclusive   Keywords: Generative Adversarial Networks, Artificial Intelligence, Eye-care, Deep Learning, Ocular Imaging. …

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OCULAR Interface’s Efforts During Cataract Awareness Month: Leveraging AI for Early Detection and Prevention

June marked Cataract Awareness Month, and OCULAR Interface dedicated itself to raising awareness about cataract, a leading cause of visual …

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