Hi, I've reinstalled voiCee and tested it asking a sighted person to check
the colours.I calibrated white and next I put the camera in front of a very
light blue. The system said white. Next I put the camera on a very light
yellow sand colour. The system said white. Maybe it's something I'm doing
wrong, a question of practice. In this case, I think the developers could
create a step by step user's guide, like loadstone's. Another idea is to
have the possibility to choose voice informations instead of complex sounds
for us to interprete. Something like vertical bar left, vertical bar center,
horizontal bar up etc, instead of bz bz bz kris krish frim frim.... These
sounds must be usefull for expert users and in the beginning we could have
simpler info. Image and color recognition is such an important thing for us
that I think that the improving work worth's it.
Regards, Paulo
----- Original Message -----
From: "Pranav Lal" <pranav....@gmail.com>
To: "'Talks Mailing List'" <talks@talksusers.com>
Sent: Wednesday, June 29, 2011 9:40 PM
Subject: Re: [Talks] colour identifier for the N86?
Paulo and all,
The vOICe will not be as accurate as dedicated color identifiers because
it
has no reference light. Dedicated color identifiers have a reference light
so do not have to rely on ambient light. This is not the case for the
vOICe
or for any other mobile color identifier.
As for holding the camera, you need to ensure that light falls on the
object
for which you want the color. The camera has to be held a little away from
the object for this to happen. You can get better results if you calibrate
the color identifier using a white object.
As for other "useless functions", the vOICe is much more than a color
identifier. The simplest analogy is that it acts like an artificial eye.
You
can mute the soundscape and then position the camera and hit the button in
the center of the d-pad to give the color. I remember reading somewhere
that
this worked. However, a better approach is to learn to interpret the
soundscapes and use them to position the camera such that the object of
interest is centered in the camera view.
Pranav
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