Red vs Green
Colorblindness is a very rare disease, occurring only in males. However, there is still a certain portion of the world’s population that suffers from it.
There is a score of problems faced by the color blind in their daily life that involves the ability to differentiate between the primary colors: red, green, and blue.
One of these problems is typical only to India: differentiating between the vegetarian and non-vegetarian dots on food packets/packaging.
India is one of the few countries in the world, that employs such a visual identification system to differentiate between vegetarian and non-vegetarian foods.
The downside of such a novel system is that it represents vegetarian food with a GREEN dot and non-vegetarian food with a RED dot — the two colors which are the most common form of color blindness.
While one solution to this problem was proposed — changing the red dot to a brown dot. But because of the widespread use of the existing system, change is difficult and a long process.
Our project aims to reduce this hassle by making use of ML using OpenCV to help colorblind in India discern between red and green.
Team Members: Vanshika Goel, Amiya Mishra, Baddela Divya Malika, Tharun S J
GitHub Repo Link:
