EyeTracker Face Recognition Application

A mobile application that allows ophthalmologists and medical institutions
to facilitate the preliminary diagnosis of eye diseases.
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Challenges accepted

Challenges accepted

Implementing face recognition and its elements is a challenging and non-trivial task. Our mobile experts found a very comprehensive solution that satisfied our client.
The development and optimization of the algorithm took many days of hard work. The challenge was to minimize photo processing time and improve the accuracy of our results.

Solutions found

Solutions found

During the development process, our team researched various different approaches before coming to a suitable solution that covers challenges related to computer vision, performance and accuracy optimization.
The client-oriented approach was a crucial part of our success and was achieved by investigating and identifying real-life problems medical personnel face on a daily basis. Establishing effective communication with well-known experts and professionals in the field of ophthalmology was the main key.
  • An application that brings social value

    Native mobile application for both iOS and Android that was built for ophthalmologists in partnership with the Filatov Institute of Eye Diseases and Tissue Therapy. It aims to help save time on medical observation and eye disease identification.
  • Application made by doctors for doctors

    The core function of this application is to track the speed and coordinates of eye pupils using a mobile device camera. It uses custom algorithms and modern computer vision technologies like OpenCV in order to provide the best quality and performance.
  • Modern interface solution

    User-friendly design, which was created using simple, but creative practices and guidelines, helps doctors to store and manage their patients, personal and experiment data, and case records.

Technologies used

We were able to provide our client with constant maintenance and support as a result of using the latest and most stable technologies, such as Java, Android Studio, Swift, OpenCV, Firebase, and others.