iColorNamer - iPhone 4+ version
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http://www.iColorNamer.wilsonsn.com
by Simon Wilson
iColorNamer should help normal, blind and color blind individuals to identify/decide color names for every day objects.
iColorNamer streams live iPhone camera data into a colour recognition algorithm. The algorithm averages color information within a central square, displays and announces color names via audio.
The algorithm used is the result of a UK Manchester University project into developing a more perfected and universally understood way of presenting color information to blind people.
Please note, the color algorithm was originally developed on a webcam. It was found to be 86% accurate in day or fluorescent light (white light) and 65% accurate in halogen or tungsten light (yellow light). This app is not a perfect solution but we found it improves on both accuracy and clarity of many commercial algorithms (It sticks to clear, universally understood and standard color names) .
Kind acknowledgements
====================
Manchester/UMIST University
Dr. Gareth Evans
Dr. Paul Blenkhorn
Mr. Lee Smith
Mr. Sanket Sheth
Miss. Abbie Overington
Mr. Vasillis Erotokritou
Mr. David Etchen
=========== =========
http://www.iColorNamer.wilsonsn.com
by Simon Wilson
iColorNamer should help normal, blind and color blind individuals to identify/decide color names for every day objects.
iColorNamer streams live iPhone camera data into a colour recognition algorithm. The algorithm averages color information within a central square, displays and announces color names via audio.
The algorithm used is the result of a UK Manchester University project into developing a more perfected and universally understood way of presenting color information to blind people.
Please note, the color algorithm was originally developed on a webcam. It was found to be 86% accurate in day or fluorescent light (white light) and 65% accurate in halogen or tungsten light (yellow light). This app is not a perfect solution but we found it improves on both accuracy and clarity of many commercial algorithms (It sticks to clear, universally understood and standard color names) .
Kind acknowledgements
====================
Manchester/UMIST University
Dr. Gareth Evans
Dr. Paul Blenkhorn
Mr. Lee Smith
Mr. Sanket Sheth
Miss. Abbie Overington
Mr. Vasillis Erotokritou
Mr. David Etchen
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