Eye exams for the developing world: there's an app for that.Bringing improved sight to millions of people worldwide
High-tech scientific instruments are often bulky, expensive and difficult at best to provide to the developing world. Ramesh Raskar and his students at the MIT Media Lab are inventing ways to bring the technology needed to conduct eye-exams with a simple $1 device attached to an iPhone.
Curator’s Pick: “It may seem like a solution for vision when it’s actually a solution for poverty.”
About the MIT Camera Culture Lab: http://cameraculture.media.mit.edu
Ramesh Raskar joined the Media Lab from Mitsubishi Electric Research Laboratories in 2008 as head of the Lab’s Camera Culture research group. His research interests span the fields of computational light transport, computational photography, inverse problems in imaging and human-computer interaction. Recent projects and inventions include transient imaging to look around a corner, a next generation CAT-Scan machine, imperceptible markers for motion capture (Prakash), long distance barcodes (Bokode), touch+hover 3D interaction displays (BiDi screen), low-cost eye care devices (Netra,Catra), new theoretical models to augment light fields (ALF) to represent wave phenomena and algebraic rank constraints for 3D displays(HR3D).
He is a recipient of TR100 award from Technology Review, 2004, Global Indus Technovator Award, top 20 Indian technology innovators worldwide, 2003, Alfred P. Sloan Research Fellowship award, 2009 and Darpa Young Faculty award, 2010. Other awards include Marr Prize honorable mention 2009, LAUNCH Health Innovation Award, presented by NASA, USAID, US State Dept and NIKE, 2010, Vodafone Wireless Innovation Award (first place), 2011. He holds over 40 US patents and has received four Mitsubishi Electric Invention Awards. He is currently co-authoring a book on Computational Photography.
“Vision is such an important part of our lives, but because it’s not a life-threatening situation it gets overlooked.” – Ramesh Raskar, Associate Professor, MIT Media Lab