From: Prof Norm Coombs [mailto:norm.coombs@xxxxxxxxx]
Sent: Saturday, 25 April 2015 12:56 PM
To: Marvin Hunkin
Subject: Re: FW: trying high school student encouragement again
Here are the specifics on Shah and his iPhone app to support people with
disabilities....
His App is called: Voice and is available from the iTunes online store.
Here is the link to his Website:
https://itunes.apple.com/us/app/voice-take-picture-have-it/id903772588
He is eager for any evaluations especially by either people who have a
visual disability or by people familiar with designing accessable apps.
Shalin 's email is:
getvoiceios@xxxxxxxxx
Norm
At 09:01 PM 4/21/2015, you wrote:
-----Original Message-----
From: Distribution list for EASI Web Conferences, Podcasts and News
[ mailto:ITD-JNL@xxxxxxxxxxxxxxxxxx <mailto:ITD-JNL@xxxxxxxxxxxxxxxxxx> ] On
Behalf Of Prof Norm Coombs
Sent: Wednesday, 22 April 2015 1:04 PM
To: ITD-JNL@xxxxxxxxxxxxxxxxxx
Subject: trying high school student encouragement again
Shalin Shah, a high schooler, designed an iPhone appfor people who are blind
or are visually impaired. Help encourage him by testing his app and give him
feedback. On his own initiative, and without teacher input, Shalin, created
an app which will:
* assist a user to take a picture of a page containing text, and it will:
* tell the user if the focus is correct
* adjust for brightness
* adjust for a picture of text on a curve such as a can label
* take the actual picture when auto settings are acceptable
* run optical character recognition on the picture
* read the resulting text using text-to-speach software The app begins
explaining the app and how it works. It then lets the user know if the
camera has the picture properly aligned and, if so, announces that it has
located all four corners of the text. With voiceover on, the user is told
when the picture is taken; when the OCR is processing it; and finally uses a
text-to-speech engine to read it to the user. The speed of the reading is
adjustable All this is accomplished in a brief time and is done
automatically without requiring user input in the process. Because the OCR
relies on an online application, the time required is slightly dependant on
the quality of the Internet connection.
The app, (name here) can be downloaded free from the iTune store.
Shalin is eager to receive evaluations and any tips for improvements and
modifications.
His email address is: shalinvs@xxxxxxxxx
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