ReColor will automatically adjust digital content colors to make viewing more accessible.
Roughly 7% of the world’s population is color-blind. New research from 17-year-old Animesh Tripathi is looking to make digital viewing more accessible for these individuals.
Tripathi is high school student from New Delhi, India, and he is developing a Google Chrome extension that will automatically adjust colors to compensate for color blindness based on the user’s settings. Called ReColor, the software would optimize videos, images, and other visual content using image-processing algorithms.
For users that are overlooked by standard color settings, this research aims to find the best color-correction process by exploring four image optimization algorithms. The results could possibly help manufacturers include greater viewing accessibility filters, as well as lead to the development of an individual program that is not dependent upon the design choices of standard websites.
Tripathi was inspired to explore the issue after a friend was unable to join the Indian Air Force due to red-green color blindness – the most prevalent color deficiency. In an interview with Mashable, Tripathi said,
Devices tend to have magnifying and color-inversion features for visual problems, however, despite the prevalence of color blindness, there has not been any native, inbuilt feature that can correct visual content at the press of a button.
While programs such as Color Oracle are currently available to assist with color blindness, the reach of these tools is limited by native website design choices.
Tripathi has already seen great support for his research. This past June he was chosen as a regional finalist at the Google Global Science Fair, and this coming May he is representing India at the Intel International Science and Engineering Fair in Los Angeles.
He is currently crowdfunding capital for the next phase of his research on Indiegogo. He was hoping to reach $1,000 – and has already raised over $1,200 with more than two week left – that would allow him test a larger sample set, purchase licensed software, and improve his hosting to handle immense image processing requests.
You can see more about his project and contribute to the research by visiting his Indiegogo page. Check out the video below: