Inspiration

Globally, there are 295 million living with moderate-to-severe visual impairment, according to the International Agency for the Prevention of Blindness’s Vision Atlas https://me.orbis.org/en/news/2021/global-blindness-was-slowing-prior-to-pandemic-study-reveals.

About 5% have difficultly distinguishing red and green, or recognizing dark red. Such color deficiency can be classified into three major categories: Protanope / Protanomal, Deuteranope / Deuteranomal and Tritanope / Tritanomal.

Color deficiencies are the inability to tell differences between some colors other people can easily distinguish. People with different types of color vision deficiency perceive colors differently. For example, individuals diagnosed as Protan or Deutan cannot perceive differences between red and green, and pink and cyan.

What it does

Majority of ELC beauty products has shades of a color to choose from Lipstick, Foundation, Eyeliner, Brows to Lip pencil etc. Single product that so many matching shades of a color even normal vision person will spend good time to differentiate. ELC Vision Helper can help people with color vision deficiencies as below.

There are two ideas in this project -

Idea-1 -> A] Using Text to Speech to read out loud the selected product shade color. B] It also shows it on screen so it will help most of other disabilities people if hearing is also issue.

Idea-2 -> To simulate color as per specific color deficiencies. These color visions are predictable by calculating working of the cone cells that perceive colors to some degree. Simulation part of the project makes a simulated image of each color vision type of dichromat from built-in camera or image file. This will help them see if color of the product they are buying matches with a specific type of color deficiency they have in real-time to make informed decision & help them buy. Note this simulation can be used both online or offline stores using phone camera, supports both front & rear camera. Analyzed/tried product images can be stored in phone for future shopping purpose.

How we built it

I developed android application to demonstrate both the ideas.

Idea 1 - Uses Text to speech recognition API provided by Android SDK. Idea 2 - Uses Open source color simulation engine that simulates the color as per 3 different types of color deficiencies that covers majority of the population.

Challenges we ran into

Testing developed project is difficult as a normal vision person.

Accomplishments that we're proud of

This might help people with color blindness to ease their daily critical routine life like a normal healthy person do. I can never imagine life even with such issues even if it is minor, this can be helpful to lot in many sense.

What we learned

It gets difficult even someone has any type of color blindness. What seems to be simple task to normal vision person it might be challenge for color blindness person. Accessibility should be part of our life & it should be inclusive. Every company should incorporate it in their product lifecycle. Nice to see ELC looking to take innovating idea's here to revolutionize this in beauty world.

What's next for ELCVisionHelper

Implementing it in iOS & website to help people with color blindness.

Thanks for the read!!!

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