Development of a Remote Interface Software for an automated refraction device

AUTHORS / CAREER / CENTER Ignacio Casares / Industrial technologies Engineering / Universidad Carlos III de Madrid
SUPERVISOR Eduardo Lage, PhD, Universidad Autonoma de Madrid
TYPE Bachelor Thesis
ABSTRACT Motivation: Uncorrected refractive errors are the main cause of visual
impairment worldwide. Hundreds of millions of people suffer from uncorrected
refractive errors. The grand majority of this population live in low-income
settings. This is not caused because of difficult access to treatment, as
eyeglasses are a very cost-effective treatment and the majority of all visual
impairment can be treated in some way, but due to a diagnosis barrier. This is
to say, there are very few professionals which can correctly diagnose these
errors.
This is where the QuickSee comes in. PlenOptika Inc. (USA), in collaboration
with the ‘Universidad Autónoma de Madrid’, developed the QuickSee as a
solution to the global health problem caused by uncorrected refractive errors.
The QuickSee is a low-cost autorefractor designed with simplicity in mind to
allow personnel with minimal training to obtain an eyeglass prescription. In a
few seconds, it can accurately measure existing refractive errors
Problem: The QuickSee is at its last stages of development before
commercial production. Further software improvements made while on the
market would need to be installed in some way, and the QuickSee doesn’t have
direct access to the internet to download the software updates. Moreover,
eyecare professionals using the QuickSee don’t have the option to communicate
results obtained with the QuickSee electronically.
Resolution: A mobile application was designed and developed, as well as a
server to be integrated in the QuickSee, to enhance the functionality offered by
the device by itself. Importantly, the application allows direct connection with
the device, so the device can connect to the internet. This allows new
functionalities such as downloading the patient database contained within the
QuickSee, check for new available versions of the software, install new versions
of the software, and restore to previous versions, among others.
Results: The developed application serves as an easy-to-use interface with
the QuickSee. It could securely connect and communicate with the QuickSee. It
succeeded in downloading the patient database from the QuickSee, updating
and restoring its software. More importantly, the application was able to
achieve this securely and steadily.
Conclusions: The software developed in this project enables new important
functionalities in the QuickSee in a secure way. Furthermore, this application
serves as the foundation for a more advanced remote interface.
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