theweeklynews.ca
Richmond Hill student uses app to give visually-impaired new look at world
Anmol Tukrel, 17, has created an app that helps visually impaired people
identify objects and text
Anmol Tukrel
Anmol Tukrel
Toronto Star Photo
Anmol Tukrel, a Grade 12 student at Holy Trinity who designed an app for
blind people that describes things you take photos of with your iPhone
or iPad.
Richmond Hill Liberal
A Toronto teen is hoping to change the lives of visually impaired people
around the world with a new app that can identify virtually any object
with the quick tap of an iPhone or iPad.
Anmol Tukrel, a 17-year-old grade 12 student at Holy Trinity School in
Richmond Hill, has always been fascinated with technology, particularly
artificial intelligence. By the time he was in grade 7, he was already
teaching himself how to code.
Growing up, Tukrel often travelled to Pune, India to visit his aunt who
worked at the K. K. Eye Institute, a hospital dedicated to providing eye
care for people who can’t afford it. That experience, combined with an
internship at a startup that uses computer vision to make products for
advertising firms, led him to the perfect idea for a Canada-Wide Science
Fair project.
“I thought I could use computer vision for a more humanitarian use, and
help visually impaired people,” he said.
Tukrel’s iPhone app, iDentifi, allows users to take a photo of virtually
any object, and then describes that item in great detail back to the
user. People can also take photos of text and have it read back to them,
in one of 27 languages. Tukrel hopes it makes every day tasks — like
picking out the can of pop you want — easier for people who are visually
impaired.
Jason Fayre, the head of accessibility and assistive technology at the
Canadian National Institute for the Blind, tested out the app and,
although there are similar apps on the market, gave it a rave review.
“I’m extremely impressed, especially that it was written by a grade 12
person,” he said. As a blind person himself, Fayre said iDentifi would
make his life in easier when trying to identify things in the kitchen.
“If I don’t know what a particular can of something is, being able to
take a picture and have that information read back to me in great detail
is very useful,” he said.
It took Tukrel more than a year to develop the app, a process that
involved months of painstaking research and enough code to fill a
two-inch binder. He had initially planned on making his own
convolutional neural network — computer speak for the data structure
used to make the a program that recognizes objects. Eventually, he opted
to integrate existing programs.
Tukrel casually speaks about computer vision, convolutional neural
networks, and application program interfaces as though he were a
university graduate of computer science – not an about-to-graduate high
schooler.
“I’ve always liked technology, but as much as I like playing video games
and using different apps, I wanted to be able to make them myself,”
Tukrel said.
For Tukrel, the work doesn’t stop now that the science fair is over.
He has already met with various organizations to get feedback on the
app, and plans on making tweaks to improve the user experience. So far,
the app has been downloaded by several thousand people and is being used
in 60 countries. And, it’s free, something Tukrel doesn’t plan on changing.
“I want people who are visually impaired to use it without thinking of
the financial consequences of doing so,” he said. “We have such great
technology and I think it’s important that everyone has access to it.”
--
David Goldfield,
Assistive Technology Specialist
Feel free to visit my Web site
WWW.DavidGoldfield.Info
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